ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑ
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ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑ
ΒΙΟΓΡΑΦΙΚΟ ΗΜΔΙΧΜΑ Γξ. Ησάλλε Μαξηλάθε Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 1 1. ΑΣΟΜΙΚΑ ΣΟΙΥΔΙΑ Ολνκαηεπώλπκν: Όλνκα παηξόο: Όλνκα κεηξόο: Ηκεξνκελία γελλήζεσο: Tόπνο γελλήζεσο: Τπεθνόηεηα: Οηθνγελεηαθή θαηάζηαζε: Δπάγγεικα : Γηεύζπλζε εξγαζίαο: Tειέθσλν: Hιεθηξ. Σαρπδξ. : Website: Ησάλλεο Μαξηλάθεο ηαύξνο νθία 25-02-1976 Υαληά Διιεληθή Άγακνο Δπίθνπξνο Καζεγεηήο, Γξ. Μεραληθόο Παξαγσγήο θαη Γηνίθεζεο Μέινο ηνπ Σερληθνύ Δπηκειεηεξίνπ Διιάδαο από 21/02/2006 ρνιή Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο Δξγαζηήξην ρεδηαζκνύ θαη Αλάπηπμεο πζηεκάησλ Τπνζηήξημεο Απνθάζεσλ Πνιπηερλείν Κξήηεο, 73100 Υαληά 28210-37288 [email protected] http://users.isc.tuc.gr/~imarinakis/ 2. ΔΚΠΑΙΓΔΤΗ 1ε Ννεκβξίνπ 2005: Αλαγόξεπζε από ην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ζηελ 10ε/1-11-2005 Γεληθή πλέιεπζε κε Δηδηθή ύλζεζε ζε Γηδάθηνξα Μεραληθό ηνπ Πνιπηερλείνπ Κξήηεο ζηνλ ηνκέα ηεο Δπηρεηξεζηαθήο Έξεπλαο. Γηδαθηνξηθή Γηαηξηβή: Vehicle Routing in Distribution Problems (Γξνκνιόγεζε Ορεκάησλ ζε Πξνβιήκαηα Γηαλνκήο Πξντόλησλ). επηέκβξηνο 2001 έσο Οθηώβξηνο 2005: Τπνςήθηνο Γηδάθηνξαο (Ph.D.) ζηελ Δπηρεηξεζηαθή Έξεπλα ζην ηκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. επηέκβξηνο 2001: Αλαθήξπμε ζε θάηνρν Μεηαπηπρηαθνύ Γηπιώκαηνο Δηδίθεπζεο ζηνλ ηνκέα Δπηρεηξεζηαθήο Έξεπλαο ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. Μεηαπηπρηαθή Δξγαζία: Αλάπηπμε θαη Δθαξκνγή Αιγνξίζκνπ γηα Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ. 1999 - 2001: Μεηαπηπρηαθέο ζπνπδέο ζην Πνιπηερλείν Κξήηεο γηα ηελ απόθηεζε ηνπ Μεηαπηπρηαθνύ Γηπιώκαηνο Δηδίθεπζεο ηνπ Μεραληθνύ Παξαγσγήο θαη Γηνίθεζεο (Δηδίθεπζε ζηελ Δπηρεηξεζηαθή Έξεπλα). επηέκβξηνο 1999: Γηπισκαηηθή Δξγαζία: Γηεξεύλεζε Ηδηνηήησλ Αιγνξίζκσλ Με Γξακκηθήο Βειηηζηνπνίεζεο. 1994 - 1999: πνπδέο ζην Πνιπηερλείν Κξήηεο γηα ηελ απόθηεζε ηνπ δηπιώκαηνο ηνπ Μεραληθνύ Παξαγσγήο θαη Γηνίθεζεο. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 2 3. ΔΠΑΓΓΔΛΜΑΣΙΚΗ ΔΜΠΔΙΡΙΑ 3.1 Γηδαθηηθή Δκπεηξία 1. 22/07/2013 έσο ζήκεξα: Δπίθνπξνο Καζεγεηήο ζηε ρνιή Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ηνραζηηθή Βειηηζηνπνίεζε θαη Δθαξκνγέο. ΦΔΚ Γηνξηζκνύ Σεύρνο Γ‘ 734/15.07.2013. Γηδαζθαιία ησλ πξνπηπρηαθώλ καζεκάησλ πλδπαζηηθή Βειηηζηνπνίεζε, Θεσξία Παηγλίσλ, ρεδηαζκόο θαη Βειηηζηνπνίεζε ζηε Γηαρείξηζε ηεο Δθνδηαζηηθήο Αιπζίδαο θαη ηνπ κεηαπηπρηαθνύ καζήκαηνο Δμειηθηηθνί αιγόξηζκνη θαη Βειηηζηνπνίεζε πζηεκάησλ Μεγάιεο Κιίκαθαο. 2. 26/3/2013 – 21/7/2013: Δπίθνπξνο Καζεγεηήο ππό δηνξηζκό ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ηνραζηηθή Βειηηζηνπνίεζε θαη Δθαξκνγέο. 3. 02/01/2009 - 25/3/2013: Λέθηνξαο ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ηνραζηηθή Βειηηζηνπνίεζε θαη Δθαξκνγέο. ΦΔΚ Γηνξηζκνύ Σεύρνο Γ‘ 1159/29.12.2008. Γηδαζθαιία ησλ πξνπηπρηαθώλ καζεκάησλ πλδπαζηηθή Βειηηζηνπνίεζε, Θεσξία Παηγλίσλ, ρεδηαζκόο θαη Βειηηζηνπνίεζε ζηελ Γηαρείξηζε ηεο Δθνδηαζηηθήο Αιπζίδαο θαη ησλ κεηαπηπρηαθώλ καζεκάησλ Βειηηζηνπνίεζε πζηεκάησλ Μεγάιεο Κιίκαθαο (Αθαδεκατθό έηνο 20082009), Δμειηθηηθνί θαη Μεζεπξεηηθνί αιγόξηζκνη (Αθαδεκατθό έηνο 20092010) θαη Δμειηθηηθνί αιγόξηζκνη θαη Βειηηζηνπνίεζε πζηεκάησλ Μεγάιεο Κιίκαθαο (από Αθαδεκατθό έηνο 2010-2011). 4. 29/01/2008 - 02/01/2009: Λέθηνξαο ππό δηνξηζκό ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Αληηθείκελν: ηνραζηηθή Βειηηζηνπνίεζε θαη Δθαξκνγέο. 5. 01/09/2008 - 02/01/2009: Γηδάζθσλ κε βάζε ην Π.Γ. 407 ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. Γηδαζθαιία ησλ πξνπηπρηαθώλ καζεκάησλ πλδπαζηηθή Βειηηζηνπνίεζε θαη ρεδηαζκόο θαη Βειηηζηνπνίεζε ηεο Δθνδηαζηηθήο Αιπζίδαο. 6. 29/01/2008: Δθινγή ζε ζέζε Λέθηνξα ζην Πνιπηερλείν Κξήηεο ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο κε αληηθείκελν: ηνραζηηθή Βειηηζηνπνίεζε θαη Δθαξκνγέο. 7. Μάξηηνο 2006 - Ινύληνο 2008: Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο. Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ησλ κεηαπηπρηαθώλ καζεκάησλ Γηνίθεζε Δθνδηαζηηθήο Αιπζίδαο, Γηνίθεζε Λεηηνπξγηώλ θαη Παξαγσγήο θαη Πξνγξακκαηηζκόο Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7). Πην αλαιπηηθά: Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 3 Δαξηλό Δμάκελν ηνπ Αθαδεκατθνύ Έηνπο 2007 -- 2008: Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ηνπ καζήκαηνο Πξνγξακκαηηζκόο Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7). Δαξηλό Δμάκελν ηνπ Αθαδεκατθνύ Έηνπο 2006 -- 2007: Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ησλ καζεκάησλ Γηνίθεζε Δθνδηαζηηθήο Αιπζίδαο θαη Γηνίθεζε Λεηηνπξγηώλ θαη Παξαγσγήο. 01/11/06 -- 05/03/07: Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ηνπ καζήκαηνο Πξνγξακκαηηζκόο Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7). Δαξηλό Δμάκελν ηνπ Αθαδεκατθνύ Έηνπο 2005 -- 2006: Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ. Γηδαζθαιία ζην Πξόγξακκα Μεηαπηπρηαθώλ πνπδώλ ―Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο‖ ηνπ καζήκαηνο Πξνγξακκαηηζκόο Η/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7). 8. επηέκβξηνο 2004 - Φεβξνπάξηνο 2005: Σκήκα Ηιεθηξνληθήο, Σερλνινγηθό Δθπαηδεπηηθό Ίδξπκα Ηξαθιείνπ, Παξάξηεκα Υαλίσλ. Γηδαζθαιία ζην εξγαζηήξην ηνπ καζήκαηνο Πιεξνθνξηθή ΙΙ. 9. επηέκβξηνο 2002 - Φεβξνπάξηνο 2005: Σκήκα Φπζηθώλ Πόξσλ θαη Πεξηβάιινληνο, Σερλνινγηθό Δθπαηδεπηηθό Ίδξπκα Ηξαθιείνπ, Παξάξηεκα Υαλίσλ. Γηδαζθαιία ζηα εξγαζηήξηα ησλ καζεκάησλ Πεξηβαιινληηθή ηαηηζηηθή, Πιεξνθνξηθή Ι θαη Πιεξνθνξηθή ΙΙ. Πην αλαιπηηθά: επηέκβξηνο 2004 -- Φεβξνπάξηνο 2005: Γηδάζθσλ ζην εξγαζηήξην ηνπ καζήκαηνο Πεξηβαιινληηθή ηαηηζηηθή ζην Σκήκα Φπζηθώλ Πόξσλ θαη Πεξηβάιινληνο ηνπ Σερλνινγηθνύ Δθπαηδεπηηθνύ Ηδξύκαηνο Ζξαθιείνπ, Παξάξηεκα Υαλίσλ. επηέκβξηνο 2003 -- Ινύληνο 2004: Γηδάζθσλ ζην εξγαζηήξην ηνπ καζήκαηνο Πιεξνθνξηθή ΙΙ θαζώο θαη ζην εξγαζηήξην ηνπ καζήκαηνο Πεξηβαιινληηθή ηαηηζηηθή ζην Σκήκα Φπζηθώλ Πόξσλ θαη Πεξηβάιινληνο ηνπ Σερλνινγηθνύ Δθπαηδεπηηθνύ Ηδξύκαηνο Ζξαθιείνπ, Παξάξηεκα Υαλίσλ. επηέκβξηνο 2002 -- Ινύληνο 2003: Γηδάζθσλ ζηα εξγαζηήξηα ησλ καζεκάησλ Πιεξνθνξηθή Ι θαη Πιεξνθνξηθή ΙΙ ζην Σκήκα Φπζηθώλ Πόξσλ θαη Πεξηβάιινληνο ηνπ Σερλνινγηθνύ Δθπαηδεπηηθνύ Ηδξύκαηνο Ζξαθιείνπ, Παξάξηεκα Υαλίσλ. 10. επηέκβξηνο 2000 - Αύγνπζηνο 2005: Δξγαζηεξηαθόο Βνεζόο κε βάζε ην Π.Γ. 407/80 ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο ζηα πξνπηπρηαθά καζήκαηα πλδπαζηηθή Βειηηζηνπνίεζε, Θεσξία Παηγλίσλ, ρεδηαζκόο θαη Βειηηζηνπνίεζε ηεο Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 4 Δθνδηαζηηθήο Αιπζίδαο θαη Μεζνδνινγία Τπνινγηζηώλ θαη ζηα κεηαπηπρηαθά καζήκαηα Δπξεηηθνί θαη Μεζεπξεηηθνί αιγόξηζκνη θαη Βειηηζηνπνίεζε πζηεκάησλ Μεγάιεο Κιίκαθαο. Πην αλαιπηηθά: 01/09/2000 - 28/02/2001: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο Θεσξία Παηγλίσλ, 7ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/03/2001 - 31/08/2001: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο πλδπαζηηθή Βειηηζηνπνίεζε, 8ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/11/2001 - 28/02/2002: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο Μεζνδνινγία Τπνινγηζηώλ, 1ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/03/2002 - 31/08/2002: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο πλδπαζηηθή Βειηηζηνπνίεζε, 8ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/09/2002 - 28/02/2003: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο Θεσξία Παηγλίσλ, 7ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/03/2003 - 31/08/2003: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο πλδπαζηηθή Βειηηζηνπνίεζε, 8ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/09/2003 - 29/02/2004: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο πλδπαζηηθή Βειηηζηνπνίεζε, 7ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/03/2004 - 31/08/2004: Δξγαζηεξηαθέο αζθήζεηο ησλ καζεκάησλ Θεσξία Παηγλίσλ, 4ν εμάκελν θαζώο θαη ηνπ κεηαπηπρηαθνύ καζήκαηνο Δπξεηηθνί θαη Μεζεπξεηηθνί αιγόξηζκνη ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/12/2004 - 31/12/2004: Δξγαζηεξηαθέο αζθήζεηο ηνπ καζήκαηνο ρεδηαζκόο θαη Βειηηζηνπνίεζε ηεο Δθνδηαζηηθήο Αιπζίδαο, 9ν εμάκελν ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 01/04/2005 - 30/4/2005, 01/06/2005 - 30/06/2005 θαη 01/08/2005 31/08/2005: Δξγαζηεξηαθή ππνζηήξημε ηνπ κεηαπηπρηαθνύ καζήκαηνο Βειηηζηνπνίεζε πζηεκάησλ Μεγάιεο Κιίκαθαο ηνπ ηκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο. 3.2 πκκεηνρή ζε Δξεπλεηηθά Πξνγξάκκαηα 1. 15/12/2011 - 31/12/2013: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό πξόγξακκα ―Energy Aware Enterprise Systems for Low-carbon Intelligent Operations – ARTISAN‖. Υξεκαηνδόηεζε από ηελ Δπξσπατθή Έλσζε (FP7-ICT systems for Energy Efficiency). πλεηζθνξά ζην έξγν: ε Βειηηζηνπνίεζε θαζώο θαη ν ρεδηαζκόο Αιγνξίζκσλ. 2. 01/01/2012 - 31/12/2013: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό πξόγξακκα ―Βειηίσζε ηεο παξαθνινύζεζεο δνκηθήο αθεξαηόηεηαο παζζάισλ κε ηε ρξήζε ππνινγηζηηθήο δπλακηθήο θαη νιηθήο βειηηζηνπνίεζεο‖. Πξόγξακκα πξνώζεζεο ησλ αληαιιαγώλ θαη ηεο επηζηεκνληθήο ζπλεξγαζίαο Διιάδαο – Γεξκαλίαο. Πξόγξακκα IKYDA 2012. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 5 3. 01/06/2012-31/07/2012: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό πξόγξακκα ―Αμηνπνίεζε ηερλνινγηώλ αηρκήο ζηελ πιεξσκή ρξήζεο θαη δηαρείξηζε δεκόζησλ ΠΑΡΚηλγθ (Η ΠΑΡΚ) - ΚΑΔ 80177‖. Πξόγξακκα Γηαζπλνξηαθήο πλεξγαζίαο Διιάδα – Κύπξνο 2007-2013. 4. Μάξηηνο 2010: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό πξόγξακκα ―Μειέηε ηνπ θιάδνπ ησλ Super Markets θαη πνιπθαηαζηεκάησλ ζην Ννκό Υαλίσλ – Παξνρή ππεξεζηώλ εθνδηαζηηθήο αιπζίδαο logistics – Γεκηνπξγία ηππνπνηεηηθήο κνλάδαο γηα ειαηόιαδν-ρπκνύο‖. 5. 01/01/07 - 31/12/07: Μέινο ηεο εξεπλεηηθήο νκάδαο γηα ην εξεπλεηηθό πξόγξακκα ―ρεδηαζκόο θαη Τινπνίεζε Πξνβιεκάησλ Μηθηνύ Αθεξαίνπ Πξνγξακκαηηζκνύ‖. Υξεκαηνδόηεζε από ην Έξγν Ππζαγόξαο ΗΗ. πλεηζθνξά ζην έξγν: ε πινπνίεζε ησλ αιγνξίζκσλ Branch and Bound. 6. επηέκβξηνο 2001: Δξεπλεηηθό Πξόγξακκα INTAS 97-31854/Network for Developing Theory, Methods and Applications of Nonsmooth Analysis and Optimization. 7. Ιαλνπάξηνο 2000 - Μάξηηνο 2000: Δπηζηεκνληθόο ζπλεξγάηεο ζην Ηλζηηηνύην Ζιεθηξνληθήο Γνκήο θαη Λέηδεξ ηνπ Ηλζηηηνύηνπ Σερλνινγίαο θαη Έξεπλαο ζην Ζξάθιεην Κξήηεο. 3.3 Γηνηθεηηθή Δκπεηξία 1. έπηεκβξηνο 2010 έσο ζήκεξα: ύκβνπινο πνπδώλ ζην Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. 2. επηέκβξηνο 2010 έσο ζήκεξα: Μέινο ηεο Δπηηξνπήο Πξνπηπρηαθώλ πνπδώλ ηνπ Σκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. 3. επηέκβξηνο 2010 έσο ζήκεξα: Μέινο ηεο Δπηηξνπήο Φνηηεηνινγίνπ ηνπ Σκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. 4. Ιαλνπάξηνο 2009 έσο ζήκεξα: Μέινο ηεο Γεληθήο πλέιεπζεο θαη ηεο Γεληθήο πλέιεπζεο Δηδηθήο ύλζεζεο ηνπ Σκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο ηνπ Πνιπηερλείνπ Κξήηεο. 3.4 Άιιεο Πιεξνθνξίεο 1. Ιαλνπάξηνο 2006 - Ινύληνο 2008: Δξεπλεηηθή πλεξγαζία κε ην Δξγαζηήξην Γηνίθεζεο Δπηρεηξήζεσλ θαη Λήςεο Απνθάζεσλ (Γ.Δ.Λ.Α.Π.) ηνπ Σκήκαηνο Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ. 2. Μάξηηνο 2000 έσο ζήκεξα: Μέινο ηνπ Δξγαζηεξίνπ πζηεκάησλ Τπνζηήξημεο Απνθάζεσλ (ΔΡΓΑ..Τ.Α.), ηνπ Σκήκαηνο Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο. 4. ΞΔΝΔ ΓΛΧΔ Αγγιηθά 5. ΓΗΜΟΙΔΤΔΙ 1. ύλνιν Βηβιίσλ : 3 2. ύλνιν Άξζξσλ ζε Γηεζλή Δπηζηεκνληθά Πεξηνδηθά κεηά από Κξίζε: 44 Άζξνηζκα Impact Factor άξζξσλ ρξνληά δεκνζίεπζεο: 43.329 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 6 Μέζν Impact Factor άξζξσλ: 1.083 Άζξνηζκα Impact Factor άξζξσλ 2012: 45.909 Μέζν Impact Factor άξζξσλ 2012: 1.147 Άζξνηζκα Impact Factor πεληαεηίαο: 52.002 Μέζν Impact Factor πεληαεηίαο: 1.3 3. ύλνιν Άξζξσλ ζε Δπηζηεκνληθά Βηβιία Γηεζλώλ Δθδνηηθώλ Οίθσλ κεηά από Κξίζε: 29 4. ύλνιν Άξζξσλ ζε Πξαθηηθά Γηεζλώλ πλεδξίσλ Μεηά από Κξίζε: 20 5. ύλνιν Πεξηιήςεσλ Άξζξσλ ζε Πξαθηηθά Γηεζλώλ πλεδξίσλ Μεηά από Κξίζε: 21 6. ύλνιν Άξζξσλ ζε Πξαθηηθά Διιεληθώλ πλεδξίσλ Μεηά από Κξίζε: 3 7. ύλνιν Πεξηιήςεσλ Άξζξσλ ζε Πξαθηηθά Διιεληθώλ πλεδξίσλ Μεηά από Κξίζε: 6 8. ύλνιν εηεξναλαθνξώλ: 905 5.1 Βηβιία 1. 2. 3. Ησάλλεο Μαξηλάθεο, Μαγδαιελή Μαξηλάθε, Νηθόιανο Φ. Μαηζαηζίλεο θαη Κσλζηαληίλνο Ενπνπλίδεο, (2011), Μεθεςπεηικοί και Δξελικηικοί Αλγόπιθμοι ζε Πποβλήμαηα Γιοικηηικήρ Δπιζηήμηρ¸ Κιεηδάξηζκνο, ζει. 527, Αζήλα, ISBN 978-960-461-422-6. Ησάλλεο Μαξηλάθεο θαη Αζαλάζηνο Μπγδαιάο, (2008), Σσεδιαζμόρ και Βεληιζηοποίηζη ηηρ Δθοδιαζηικήρ Αλςζίδαρ, Δθδόζεηο νθία, Θεζζαινλίθε, ζει. 533, ISBN: 978-960-6706-17-2. Γ. Μαξηλάθεο θαη Μ. Μαξηλάθε, (2005), Μαθημαηική Θεωπία Βεληιζηοποίηζηρ, Δθδόζεηο Νέσλ Σερλνινγηώλ, Αζήλα, ζει. 348, (Μεηάθξαζε - Δπηκέιεηα Διιεληθήο Έθδνζεο ηνπ βηβιίνπ: D.Z. Du, P.M. Pardalos and W. Wu, Mathematical Theory of Optimization, Kluwer Academic Publishers, 2001), ISBN: 960-8105-79-X. 5.2 Άξζξα ζε Γηεζλή Δπηζηεκνληθά Πεξηνδηθά κεηά από Κξίζε 4. 5. 6. 7. M. Marinaki and Y. Marinakis (2015) ―A Hybridization of Clonal Selection Algorithm with Iterated Local Search and Variable Neighborhood Search for the Feature Selection Problem‖, Memetic Computing, (accepted) Y. Marinakis and M. Marinaki, (2015) ―Combinatorial Neighborhood Topology Bumble Bees Mating Optimization for the Vehicle Routing Problem with Stochastic Demands‖, Soft Computing, 19(2), 353-373 (Impact Factor 2013: 1.304 – Five Year Impact Factor: 1.464). M. Marinaki, Y. Marinakis and G.E. Stavroulakis (2015) ―Fuzzy control optimized by a multi-objective differential evolution algorithm for vibration suppression of smart structures‖, Computers and Structures, 147, 126-137. (Impact Factor 2013: 2.178 – Five Year Impact Factor: 2.676) Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―A Hybrid Clonal Selection Algorithm for the Location Routing Problem with Stochastic Demands‖, Annals of Mathematics and Artificial Intelligence, DOI 10.1007/s10472-014-9441-7, (Impact Factor 2013: 0.488) Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 7 M. Marinaki and Y. Marinakis (2014) ―A Bumble Bees Mating Optimization Algorithm for the Feature Selection Problem‖. International Journal of Machine Learning and Cybernetics, DOI 10.1007/s13042-014-0276-7 Y. Marinakis and M. Marinaki, (2014) ―A Bumble Bees Mating Optimization algorithm for the Open Vehicle Routing Problem‖, Swarm and Evolutionary Computation, 15, 80-94. Y. Marinakis and M. Marinaki, (2013) ―Particle Swarm Optimization with Expanding Neighborhood Topology for the Permutation Flowshop Scheduling Problem‖, Soft Computing, 17(7), 1159-1173, DOI: 10.1007/s00500-0130992-z (Impact Factor 2013: 1.304 – Five Year Impact Factor: 1.464). Y. Marinakis, G.R. Iordanidou and M. Marinaki, (2013) ―Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands‖, Applied Soft Computing, 13, 1693-1704 (Impact Factor 2013: 2.679 – Five Year Impact Factor: 2.97). Y. Marinakis, (2012), ―Multiple Phase Neighborhood Search GRASP for the Capacitated Vehicle Routing Problem‖, Expert Systems with Applications, 39, 6807-6815. (Impact Factor 2012: 1.854 – Impact Factor 2013: 1.965 – Five Year Impact Factor: 2.254). M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011) ―Vibration Control of Beams with Piezoelectric Sensors and Actuators using Particle Swarm Optimization‖, Expert Systems with Applications, 38, 6872-6883. (Impact Factor 2011: 2.203 – Impact Factor 2013: 1.965 – Five Year Impact Factor: 2.254). M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011), ―Fuzzy Control Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for Vibration Suppression of Smart Structures‖, Structural and Multidisciplinary Optimization, 43, 29-42. (Impact Factor 2011: 1.488 – Impact Factor 2013: 1.696 – Five Year Impact Factor: 1.599). Y. Marinakis, M. Marinaki and G. Dounias, (2011) ―Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem‖, Information Sciences, 181, 4684 – 4698 (Impact Factor 2011: 2.833 – Impact Factor 2013: 3.893 – Five Year Impact Factor: 3.969). Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2011), ―A Hybrid ACO-GRASP Algorithm for Clustering Analysis‖, Annals of Operations Research, 188, 343-358. (Impact Factor 2011: 0.840 – Impact Factor 2013: 1.103 – Five Year Impact Factor: 1.101). Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2011), ―Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems‖, International Journal of Applied Metaheuristic Computing, 2, 1, 1-17. S. Tsafarakis, Y. Marinakis and N. Matsatsinis, (2011), ―Particle Swarm Optimization for Optimal Product Line Design‖, International Journal of Research in Marketing, 28, 13-22. (Impact Factor 2011: 1.662 – Impact Factor 2012: 1.71 – Five Year Impact Factor: 2.555). M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2010), ―Fuzzy Control optimized by PSO for vibration suppression of beams‖, Control Engineering and Practice, 18, 618-629. (Impact Factor 2010: 1.406 – Impact Factor 2013: 1.912 – Five Year Impact Factor: 2.347). Y. Marinakis, M. Marinaki and G. Dounias, (2010), ―A Hybrid Particle Swarm Optimization Algorithm for the Vehicle Routing Problem‖, Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 8 Engineering Applications of Artificial Intelligence, 23, 463-472. (Impact Factor 2010: 1.344 – Impact Factor 2013: 1.962 – Five Year Impact Factor: 2.176). A. Kornelakis and Y. Marinakis (2010). ―Contribution for optimal sizing of grid-connected PV-systems using PSO‖, Renewable Energy, 35, 1333-1341. (Impact Factor 2010: 2.554 – Impact Factor 2013: 3.361 – Five Year Impact Factor: 3.842). M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), ―Honey Bees Mating Optimization Algorithm for Financial Classification Problems‖, Applied Soft Computing, 10, 806-812. (Impact Factor 2010: 2.084 – Impact Factor 2013: 2.679 – Five Year Impact Factor: 2.97). Y. Marinakis and M. Marinaki, (2010), ―A Hybrid Genetic - Particle Swarm Optimization Algorithm for the Vehicle Routing Problem‖, Expert Systems with Applications, 37, 1446-1455. (Impact Factor 2010: 1.924 – Impact Factor 2013: 1.965 – Five Year Impact Factor: 2.254). Y. Marinakis, M. Marinaki and G. Dounias (2010), ―Honey Bees Mating Optimization Algorithm for Large Scale Vehicle Routing Problems‖ Natural Computing, 9, 5-27. (Impact Factor 2012: 0.683 - Impact Factor 2013: 0.539) Y. Marinakis and M. Marinaki (2010), ―A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem‖, Computers and Operations Research, 37, 432-442. (Impact Factor 2010: 1.769 – Impact Factor 2013: 1.718 – Five Year Impact Factor: 2.335). Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2009), ―Ant Colony and Particle Swarm Optimization for Financial Classification Problems‖, Expert Systems with Applications, 36, 7, 10604-10611. (Impact Factor 2009: 2.908 – Impact Factor 2013: 1.965 – Five Year Impact Factor: 2.254). Y. Marinakis, G. Dounias and J. Jantzen (2009), ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification‖, Computers in Biology and Medicine, 39, 1, 69-78. (Impact Factor 2009: 1.269 – Impact Factor 2013: 1.475 – Five Year Impact Factor: 1.547). M. Doumpos, Y. Marinakis, M. Marinaki and C. Zopounidis, (2009). ―An Evolutionary Approach to Construction of Outranking Models for Multicriteria Classification: The Case of the ELECTRE TRI Method‖, European Journal of Operational Research, 199, 496-505. (Impact Factor 2009: 2.093 – Impact Factor 2013: 1.843 – Five Year Impact Factor: 2.625). Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2009). ―Evolution of the Population of a Genetic Algorithm using Particle Swarm Optimization: Application to Clustering Analysis‖, Operational Research, An International Journal, 9, 105-120. Y. Marinakis, M. Marinaki, G. Dounias, J. Jantzen and B. Bjerregaard, (2009), ―Intelligent and Nature Inspired Optimization Methods in Medicine: The PapSmear Cell Classification Problem‖, Expert Systems. The Journal of Knowledge Engineering, 26, 5, 433-457. (Impact Factor 2009: 1.231 – Impact Factor 2013: 0.75 – Five Year Impact Factor: 0.774). Y. Marinakis, A. Migdalas and P.M. Pardalos, (2009), ―Multiple Phase Neighborhood Search GRASP based on Lagrangean Relaxation, Random Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 9 Backtracking Lin-Kernighan and Path Relinking for the Traveling Salesman Problem‖, Journal of Combinatorial Optimization, 17, 134-156. (Impact Factor 2009: 0.867 – Impact Factor 2013: 1.043 – Five Year Impact Factor: 0.71). M. Marinaki, Y. Marinakis and C. Zopounidis (2008) ―A Memetic Algorithm for the Identification of Firms Receiving Qualified Audit Reports‖, Journal of Computational Optimization in Economics and Finance, Vol. 1, No. 1, 5971. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―A Stochastic Nature Inspired Metaheuristic for Clustering Analysis‖, International Journal of Business Intelligence and Data Mining, 3, 1, 30-44. Y. Marinakis and M. Marinaki, (2008), ―A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem‖, Journal of Mathematical Modelling and Algorithms, 7, 1, 59-78. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), ―A Hybrid Stochastic Genetic-GRASP Algorithm for Clustering Analysis‖, Operational Research, An International Journal, 8, 1, 33-46. Y. Marinakis, M. Marinaki and G. Dounias, (2008), ―Particle Swarm Optimization for Pap-Smear Diagnosis‖, Expert Systems with Applications, 35, 1645-1656. (Impact Factor 2008: 2.596 – Impact Factor 2013: 1.965 – Five Year Impact Factor: 2.254) Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008), ―Expanding Neighborhood Search - GRASP for the Probabilistic Traveling Salesman Problem‖, Optimization Letters, 2, 3, 351-361. (Impact Factor 2008: 0.528 – Impact Factor 2013: 0.99 – Five Year Impact Factor: 0.908). Y. Marinakis, M. Marinaki and C. Zopounidis, (2008), ―Application of Ant Colony Optimization to Credit Risk Assessment‖, New Mathematics and Natural Computation, 4, 1, 107-122. M. Marinaki, Y. Marinakis, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), ―A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu Search Algorithm for the Feature Selection Problem‖, Optimization Letters, 2, 3, 299-308. (Impact Factor 2008: 0.528 – Impact Factor 2013: 0.99 – Five Year Impact Factor: 0.908) Y. Marinakis and G. Dounias, (2008), ―Nature Inspired Intelligence in Medicine: Ant Colony Optimization for Pap-Smear Diagnosis‖, International Journal on Artificial Intelligence Tools (IJAIT), 17, 2, 279-301. (Impact Factor 2008: 0.667 – Impact Factor 2012: 0.22 – Five Year Impact Factor: 0.402) Y. Marinakis and M. Marinaki, (2008), ―A Bilevel Genetic Algorithm for a Real Life Location Routing Problem‖, International Journal of Logistics: Research and Applications, 11, 1, 49-65. (Impact Factor 2010: 0.558 – Impact Factor 2013: 0.469) Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), ―Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms for Credit Risk Assessment‖, Journal of Global Optimization, 42, 279-293. (Impact Factor 2008: 1.062 – Impact Factor 2013: 1.355 – Five Year Impact Factor: 1.391) M. Marinaki, Y. Marinakis and C. Zopounidis, (2007), ―Application of a Genetic Algorithm for the Credit Risk Assessment Problem‖, Foundations of Computing and Decisions Sciences, 32, 2, 139-152. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 10 44. Y. Marinakis and A. Migdalas, (2007), ―Annotated Bibliography in Vehicle Routing‖, Operational Research an International Journal, 7, 1, 27-46. 45. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2007), ―A New Bilevel Formulation for the Vehicle Routing Problem and a Solution Method Using a Genetic Algorithm‖, Journal of Global Optimization, 38, 555-580. (Impact Factor 2007: 0.813 – Impact Factor 2013: 1.355 – Five Year Impact Factor: 1.391) 46. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), ―A Hybrid Genetic GRASP Algorithm Using Lagrangean Relaxation for the Traveling Salesman Problem‖, Journal of Combinatorial Optimization, 10, 311-326. (Impact Factor 2005: 0.291 – Impact Factor 2013: 1.043 – Five Year Impact Factor: 0.71). 47. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), ―Expanding Neighborhood GRASP for the Traveling Salesman Problem‖, Computational Optimization and Applications, 32, 231-257. (Impact Factor 2005: 0.886 – Impact Factor 2013: 0.977 – Five Year Impact Factor: 1.432) 5.3 Άξζξα ζε Δπηζηεκνληθά Βηβιία Γηεζλώλ Δθδνηηθώλ Οίθσλ κεηά από Κξίζε 48. Y. Marinakis, M. Politis, M. Marinaki and N. Matsatsinis (2015) ―A MemeticGRASP Algorithm for the Solution of the Orienteering Problem‖, MCO 2015, Le Thi Hoai An, Pham Dinh Tao, Nguyen Ngoc Thanh (Eds.) (accepted) (Modelling, Computation and Optimization in Information Systems and Management Sciences, 11-13 May 2015, Metz, France) 49. I.D. Psychas, M. Marinaki and Y. Marinakis (2015) ―A Parallel Multi-Start NSGA II Algorithm for Multiobjective Energy Reduction Vehicle Routing Problem‖, EMO 2015, Part I, A. Gaspar-Cunha et al. (Eds.): LNCS 9018, DOI: 10.1007/978-3-319-15934-8_23, pp. 336–350 (8th International Conference on Evolutionary Multi-Criterion Optimization, 29 March – 1 April 2015, Guimaraes, Portugal) 50. Y. Marinakis, M. Marinaki and P. Spanou (2015) ―A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands‖, Adaptation and Hybridization in Computational Intelligence, Adaptation, Learning, and Optimization 18, I. Fister and I. Fister Jr. (eds.), DOI: 10.1007/978-3-319-14400-9_9, pp. 185-203. 51. Y. Marinakis and A. Migdalas (2014) ―A Particle Swarm Optimization algorithm for the Multicast Routing Problem‖, Models, Algorithms and Technologies for Networks Analysis, Springer Proceedings in Mathematics & Statistics 104, M.V. Batsyn et al. (eds.),DOI 10.1007/978-3319-09758-9_7, pp. 69-91. 52. Y. Marinakis and A. Migdalas, (2014), ―Multiobjective Particle Swarm Optimization for a Multicast Routing Problem‖, Examining Robustness and Vulnerability of Network Systems, S. Butenko et al. (Eds) pp. 161 – 175. (IOS Press) doi: 10.3233/978-1-61499-391-9-161 (NATO Advanced Research Workshop, June 3-5, 2013, Kyiv, Ukraine). 53. Y. Marinakis and M. Marinaki, (2014) ―An Adaptive Bumble Bees Mating Optimization Algorithm for the Hierarchical Permutation Flowshop Scheduling Problem‖, ANTS 2014, LNCS 8667, M. Dorigo et al. (Eds.):pp. 282–283, 2014 (9th International Conference on Swarm Intelligence, 10-12 September 2014, Brussels, Belgium). Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 11 54. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―A Hybrid Clonal Selection Algorithm for the Vehicle Routing Problem with Stochastic Demands‖, Learning and Intelligent Optimization - LION 8, Lecture Notes in Computer Science (LNCS 8426), P.M. Pardalos et al. (Eds.), pp 258-273, (16-21 February 2014, Gainesville, Florida-USA). 55. M. Marinaki and Y. Marinakis (2014) ―An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem‖, Nature Inspired Cooperative Strategies for Optimization - NICSO 2013, Studies in Computational Intelligence, Vol 512, G. Terrazas, F.E.B. Otero, A.D. Masegosa (Eds.), Springer, 29-42 (2-4 September 2013, Canturburry, UK). 56. Y. Marinakis and M. Marinaki (2013) ―A Hybridized Particle Swarm Optimization with Expanding Neighborhood Topology for the Feature Selection Problem‖, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, pp. 37– 51, ©Springer-Verlag Berlin Heidelberg 2013. 57. Y. Marinakis and M. Marinaki (2013) ―A Bilevel Particle Swarm Optimization Algorithm for Supply Chain Management Problems‖, E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, Studies in Computational Intelligence (SCI) Vol. 482, pp. 69–93. DOI: 10.1007/978-3642-37838-6_3 ©Springer-Verlag Berlin Heidelberg 2013. 58. Y. Marinakis and M. Marinaki (2013) ―Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem‖, M. Middendorf and C. Blum (Eds.): EvoCOP 2013, LNCS 7832, pp. 133–144, (2013 EvoStar, The 13th European Conference on Evolutionary Computation in Combinatorial Optimization, 3-5 April 2013 Vienna, Austria). 59. Y. Marinakis and M. Marinaki, (2013), ―A Hybrid Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem‖, Optimization Theory, Decision Making, and Operational Research Applications, A. Migdalas et al. (Editors), Springer Proceedings in Mathematics & Statistics 31, DOI 10.1007/978-1-4614-5134-1_6, © Springer Science+Business Media New York 2013, 91-101. 60. Y. Marinakis and M. Marinaki, (2012), ―A Hybrid Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem‖, ANTS 2012 Lecture Notes in Computer Science (LNCS) 7461, M. Dorigo et al. (Editors) Springer-Verlag Berlin Heidelberg, 180-187 (8th International Conference on Swarm Intelligence, 12-14 September 2012, Brussels, Belgium). 61. Y. Marinakis and M. Marinaki, (2011), ―De.Lo.S.: A Decision Support System for Solving Supply Chain Management Problems‖, Proceedings of the 3rd International Conference on Applied Operational Research – ICAOR, Lecture Notes in Management Science, 3, Gunalay Y. and Kadipasaoglu S. (Eds)., 351-363, ISSN 2008-0050. (23-27 August 2011, Istanbul, Turkey). 62. Y. Marinakis and M. Marinaki, (2011), ―Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem‖, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (Eds.), Series on Adaptation, Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369. 63. Y. Marinakis and M. Marinaki (2010) ―Nature Inspired and Classic Metaheuristic Algorithms for Global Unconstrained Optimization Problems. A comparative analysis‖, Computational Optimization: New Research Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 64. 65. 66. 67. 68. 69. 70. 71. 72. 73. 12 Developments, Richard F. Linton and Thomas B. Carroll Jr. (Eds.), 243-263, Nova Science Publishers. Y. Marinakis, M. Marinaki and N. Matsatsinis (2010) ―A Bumble bees mating optimization algorithm for global unconstrained optimization problems‖, Nature Inspired Cooperative Strategies for Optimization - NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.), Springer-Verlag Berlin, 305-318 (12-14 May 2010, Granada, Spain). G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki (2009), ―Nonconvex, multiobjective problems in topology optimization of mechanisms‖, Global Optimization, Theory, Models and Applications I, Lecture Notes in Decision Sciences (LNDS) 12, C. Ma, L. Yu, D. Zhang and Z. Zhou (Eds.), Global-Link Publishers, Tokyo, 8-14 (First World Congress on Global Optimization in Engineering and Science WCGO2009, June 1-5 2009, Changsha and Zhangjiajie, China). Y. Marinakis, M. Marinaki and N. Matsatsinis (2009), ―A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for Clustering‖, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E. Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, (4th International Conference of Hybrid Artificial Intelligence Systems, 10 – 12 June 2009, Salamanca, Spain). Y. Marinakis, (2009), ―Metaheuristic Algorithms for the Vehicle Routing Problem‖, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0387-74759-0_366, 2055 – 2061, Springer. Y. Marinakis, (2009), ―Heuristic and metaheuristic algorithms for the traveling salesman problem‖, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_262, 1499 – 1506, Springer. Y. Marinakis, (2009), ―Location Routing Problem‖, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_345, 1919 – 1925, Springer. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP‖, DaWaK 2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195 (10th International Conference on Data Warehousing and Knowledge Discovery, 15 September 2008, Turin, Italy). Y. Marinakis, M. Marinaki and N. Matsatsinis (2008) ―A Hybrid Clustering Algorithm based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure‖, Learning and Intelligent Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313, V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152 (8-12 December 2007, Trento, Italy). Y. Marinakis, M. Marinaki and G. Dounias, (2008) ―Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem‖, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007, Studies in Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta (Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, (8-10 November 2007, Acireale, Sicily, Italy). Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008) ―Cost allocation in Combinatorial Optimization Games‖, Pareto Optimality, Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 13 74. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), ―A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis‖, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, (9th International Conference on Data Warehousing and Knowledge Discovery, 37 September 2007, Regensburg, Germany). 75. Y. Marinakis and A. Migdalas, (2002), ―Heuristic Solutions of Vehicle Routing Problems in Supply Chain Management‖, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235. 5.4 Άξζξα ζε Πξαθηηθά Γηεζλώλ πλεδξίσλ Μεηά από Κξίζε 76. Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2013) Nature inspired algorithms for the vibration control of beams with piezoelectric sensors and actuators, in CSC2013 The Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Eds. Y. Tsompanakis, P. Ivanyi and B.H.V. Topping, Civil and Structural Engineering Computational Methods, 129-156, Cagliari, Sardinia, Italy 3-6 September 2013 (invited speaker). 77. Y. Marinakis and M. Marinaki, (2013) Combinatorial Expanding Neighborhood Topology Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands, GECCO: 2013, Genetic and Evolutionary Computation Conference, 6-10 July 2013, Amsterdam, The Netherlands, 49-56. 78. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2012), A Differential Evolution Algorithm for Fuzzy Control of Smart Structures, in Proceedings of the Eleventh International Conference on Computational Structures Technology, B.H.V. Topping, (Editor), Civil-Comp Press, Stirlingshire, United Kingdom, 4-7 September 2012, Dubrovnik, Croatia, paper 277, doi:10.4203/ccp.99.277 79. Y. Marinakis and M. Marinaki, (2011) A Honey Bees Mating Optimization Algorithm for the Open Vehicle Routing Problem, GECCO: 2011, Genetic and Evolutionary Computation Conference, 12-16 July 2011, Dublin, Ireland. 80. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis and M. Marinaki (2009), ―Multiobjective Global Topology Optimization For Structures And Mechanisms‖, 2th South East European Conference on Computational Mechanics, 22-24 June 2009, Rhodes, Greece. 81. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2009), ―A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for Clustering‖, 39th International Conference on Computers and Industrial Engineering, 6 - 8 July 2009, Troyes, France. 82. Y. Marinakis and M. Marinaki, (2009), ―A Hybrid Honey Bees Mating Optimization Algorithm for the Probabilistic Traveling Salesman Problem‖, IEEE Congress on Evolutionary Computation (CEC 2009), 18-21 May 2009, Trondheim, Norway. 83. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki and N. Skarros, (2008), ―Optimal Structural and Mechanism Design using Topology Optimization‖, International Conference on Modeling and Simulation 08, 18-20 November 2008, Petra, Jordan. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 14 84. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), Particle Swarm Optimization Approach for Fuzzy Control of Smart Structures‖, in M. Papadrakakis, B.H.V. Topping, (Editors), 6th International Conference on Engineering Computational Technology (ECT 2008), 2-5 September 2008, Athens, Greece, Publisher: Civil-Comp Press, Stirlingshire, UK, doi:10.4203/ccp.89.80. 85. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), ―Honey Bees Mating Optimization for the Location Routing Problem‖, IEEE International Engineering Management Conference (IEMC – Europe 2008), 28-30 June 2008, Estoril, Portugal. 86. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), ―Particle Swarm Optimization for Structural Control‖, 6th GRACM International Congress on Computational Mechanics, 19-21 June 2008, Thessaloniki, Greece. 87. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2008), ―A Memetic-GRASP Algorithm for Clustering‖, 10th International Conference on Enterprise Informations Systems (ICEIS), 13-16 June 2008, Barcelona, Spain. 88. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Training Neural Network Based Models Using Trading Related Objective Functions‖, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta. 89. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Optimization of Complex Financial Models Using Nature Inspired Techniques‖, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta. 90. Y. Marinakis, M. Marinaki and G. Dounias, (2007), ―Honey Bees Mating Optimization Algorithm for Combinatorial Optimization Problems‖, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta. 91. V. Vassiliadis, N. Thomaidis, Y. Marinakis, M. Michalopoulos, G. Dounias, (2007), ―Investigating Interrelations of Major International Stock Markets with the Use of Econometric and Intelligent Approaches‖, SIGEF 2007, XIV Congress of International Association for Fuzzy-Set Management and Economy, 1-3 November 2007, Poiana, Brasov, Romania. 92. Y. Marinakis and G. Dounias, (2006), ―Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification‖, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 35 - 45, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain. 93. Y. Marinakis and G. Dounias, (2006), ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification‖, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain. 94. Y. Marinakis and G. Dounias, (2006), ―Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search for Feature Selection‖, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 25-34, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 15 95. Y. Marinakis, A. Migdalas and L. Pitsoulis, (2002), ―Parallel GRASP for routing on trees with time windows‖, Proceedings of the 4th GRACM Congress on Computational Mechanics, June 2002, Patra, Greece. 5.5 Πεξηιήςεηο Άξζξσλ ζε Πξαθηηθά Γηεζλώλ πλεδξίσλ Μεηά από Κξίζε 96. Y. Marinakis, M. Marinaki and A. Migdalas, (2015) ―A Tree Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Stochastic Travel and Service Times‖, World Congress on Global Optimization – WCGO 2015, 22-25 February 2015, Gainesville, Florida, USA 97. Y. Marinakis, M. Marinaki and A. Migdalas, (2014) ―An Adaptive Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Time Windows‖, LOT 2014, Logistics, Optimization and Transportation Conference, 1-2 November 2014 Molde Norway 98. Y. Marinakis and M. Marinaki (2014), ―A GRASP Algorithm with Path Relinking for the Multi-depot Location Routing Problem with Stochastic Customers‖, IFORS 2014, 20th Conference of the International Federation of Operational Research Societies, Barcelona, July 13-18, 2014 99. Y. Marinakis and M. Marinaki, (2014) ―A Multi-Start Variable Neighborhood Search Algorithm with Path Relinking for the Location Routing Problem with Stochastic Demands‖, VeRoLog 2014, Third meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014 100. M. Marinaki and Y. Marinakis, (2014) ―An Evolutionary – GRASP Algorithm with Path Relinking for the Vehicle Routing Problem with Stochastic Demands‖, VeRoLog 2014, Third meeting of the EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo 22-25 June 2014 101. Y. Marinakis, M. Marinaki and A. Migdalas (2014) ―Adaptive Tunning of All Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm. An Application to the Probabilistic Traveling Salesman Problem‖, Optimization, Control and Applications in the Information Age, June 15-20, 2014 Meliton Hotel, Porto Carras, Neos Marmaras, Sithonia, Chalkidiki, Greece 102. Y. Marinakis, A. Migdalas (2013) ―An Artificial Bee Colony algorithm for Multicast Routing Problems‖, XI Balcan Conference on Operational Research BALCOR 2013, Belgrade & Zlatibor, 7-11 September, 2013 103. Y. Marinakis and A. Migdalas, (2013), Heuristic and Metaheuristic Routing, 3rd International Conference on Network Analysis, May 20 – 22, 2013 in Nizhny Novgorod, Russia. 104. Y. Marinakis, A. Migdalas and A. Sifaleras (2012), ―A hybrid Particle Swarm Optimization - Variable Neighborhood Search Algorithm for Constrained Shortest Path Problems‖, EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi, Montenegro. 105. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2010), ―A Nature Inspired Multiobjective Optimization Algorithm for Supply Chain Management Problem‖, 72th Meeting of the Working Group ―Multiple Criteria Decision Aiding‖, 7-9 October 2010, Paris, France. 106. M. Marinaki, Y. Marinakis, C. Zopounidis, (2010), ―A Clonal Selection Algorithm for Financial Classification Problems‖, 9th Special Conference of HELORS on ―Quantitative Models in the Managerial and Financial Decision Making‖, 27-29 May 2010, Agios Nikolaos, Crete, Greece. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 16 107. M. Doumpos, Y. Marinakis, M. Marinaki, C. Zopounidis, (2007), ―Evolutionary approaches for the development of outranking relation models in classification problems‖, 66th Meeting of the European Working Group ―Multiple Criteria Decision Aiding‖, 18-20 October 2007, Marrakesh, Morocco. 108. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), ―A Stochastic Nature Inspired Metaheuristic for Clustering Analysis‖, Book of Abstracts 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech. 109. M. Doumpos, Y. Marinakis, M. Marinaki, and C. Zopounidis, (2007), ―Evolutionary approaches for the development of outranking relation models in classification problems‖, Book of Abstracts 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech. 110. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2007), ―Ant Colony and Particle Swarm Optimization for Financial Classification Problems‖, Book of Abstracts 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech. 111. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2007), ―A New Metaheuristic Algorithm for Cluster Analysis‖, Book of Abstracts of the 5th International Conference on Advances in Global Optimization: Methods and Applications, June 13 - 17, 2007, Myconos, Greece. 112. Y. Marinakis, M. Marinaki, M. Doumpos, Y. Efremides, N. Matsatsinis and C. Zopounidis, (2006), ―Metaheuristic Algorithms for Feature Selection in Credit Risk Assessment‖, Book of Abstracts of the MCDA64, 28-30 September 2006, Larisa, Greece. 113. Y. Marinakis and A. Migdalas, (2005), ―Bilevel Formulations for Type Routing Problems and a Solution Method Using a Genetic Algorithm‖, Book of Abstracts of Multilevel Optimization: Algorithms and Applications, 1517 May 2005, Chania, Greece. 114. Y. Marinakis, A. Migdalas, P.M. Pardalos and M. Marinaki, (2005), ―A Hybrid Genetic - GRASP Algorithm for the Vehicle Routing Problem‖, Book of Abstracts of the 4th Annual Florida Supply Chain Management Conference, 25-27 February 2005, DoubleTree, Cocoa Beach, Florida, USA. 115. Y. Marinakis and A. Migdalas, (2003), ―A Two Phase Local Search GRASP for the Traveling Salesman Problem‖, Book of Abstracts of the First International Conference on Computational Management Science, 27 - 30 May 2003, Almyrida, Chania, Greece. 116. A. Migdalas and Y. Marinakis, (2003), ―A Bilevel Programming Approach to the Location Routing Problem‖, Book of Abstracts of the International Workshop on Computational Management Science, Economics, Finance and Engineering, 28-30 March 2003, Limassol, Cyprus. 5.6 Άξζξα ζε Πξαθηηθά Διιεληθώλ πλεδξίσλ Μεηά από Κξίζε 117. M. Marinaki, Y. Marinakis and C. Zopounidis, (2008), ―A Honey Bees Mating Optimization Algorithm for the Multigroup Credit Risk Assessment Problem‖, 7th Conference of the Hellenic Finance and Accounting Association, 12-13 December 2008, Chania, Crete, Greece. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 17 118. Y. Marinakis and A. Migdalas, (2002), ―A Greedy Randomized Adaptive Search Procedure (GRASP) for the Vehicle Routing Problem‖, Proceedings of the 15th National Congress of EEEE, 31 October - 2 November 2002, Tripoli, Greece. 119. M. Kourgiantakis, Y. Marinakis and A. Migdalas, (2002), ―Modeling and Analysis of Supply Chain Using Petri Nets‖, Proceedings of the 15th National Congress of EEEE, 31 October - 2 November 2002, Tripoli, Greece. 5.7 Πεξηιήςεηο Άξζξσλ ζε Πξαθηηθά Διιεληθώλ πλεδξίσλ Μεηά από Κξίζε 120. I. Rogdakis and Y. Marinakis (2010) ―A Decision Support System for Supply Chain Management‖, 1st National Student Conference of EEEE, 25-27 November 2010, Athens, Greece. 121. A. Maninakis and Y. Marinakis (2010) ―Solving the Location Routing Problem using a Memetic Algorithm‖ 1st National Student Conference of EEEE, 25-27 November 2010, Athens, Greece. 122. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2007), ―Evolution of the population of a Genetic Algorithm using Particle Swarm Optimization - Application to Clustering Analysis‖, Book of Abstracts of the 5th Meeting of Multicriteria Decision Analysis, 27-28 September 2007, Chania, Greece. 123. Y. Marinakis, M. Marinaki, and N. Matsatsinis, (2007), ―Ant Colony Optimization Algorithm for the Vehicle Routing Problem with Stochastic Demand‖, Book of Abstracts, 19th National Conference of EEEE, 21-23 June 2007, Arta, Greece. 124. Y. Marinakis, M. Marinaki, G. Dounias and C. Zopounidis, (2007), ―Metaheuristic Algorithms in Medicine. The Pap-Smear Cell Classification Problem‖, Book of Abstracts of the ECO-Q Management and Quality in Health Care, 30-31 March 2007, Chania, Greece. 125. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2006), ―Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms used for the Credit Risk Assessment Classification Task‖, Book of Abstracts of the 4th Meeting of Multicriteria Decision Analysis, 27-28 September 2006, Larisa, Greece. 5.8 Άξζξα ζε Διιεληθά Δπηζηεκνληθά Πεξηνδηθά θαη Βηβιία 126. Γ. Μαξηλάθεο, Μ. Μαξηλάθε θαη Κ. Ενπνπλίδεο (2010), ―Σν παξάδεηγκα ηεο Μέιηζζαο! Όηαλ ε θύζε εκπλέεη ηα καζεκαηηθά…‖, Δπηζηεκνληθό Μάξθεηηλγθ, 74, 93-99. 127. Μ. Μαξηλάθε, Γ. Μαξηλάθεο θαη Κ. Ενπνπλίδεο (2008), ―Γελεηηθνί Αιγόξηζκνη θαη Αμηνιόγεζε ηνπ Πηζησηηθνύ Κηλδύλνπ‖, Δπηζηεκνληθό Μάξθεηηλγθ, 49, 99-103. 128. Γ. Μαξηλάθεο, Μ. Μαξηλάθε, Γ. Γνύληαο, J. Jantzen θαη Κ. Ενπνπλίδεο, (2007), ―Μεζεπξεηηθνί Αιγόξηζκνη Βειηηζηνπνίεζεο ζηελ Ηαηξηθή: Σν πξόβιεκα ηαμηλόκεζεο ησλ θπηηάξσλ πνπ ιακβάλνληαη θαηά ην ηεζη Παπαληθνιάνπ‖, Θέκαηα Μάλαηδκελη Τπεξεζηώλ Τγείαο, Κ. Ενπνπλίδεο (Δθδόηεο), 147 – 161, Κιεηδάξηζκνο. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 18 129. Γ. Μαξηλάθεο, Μ. Μαξηλάθε, Μ. Γνύκπνο, Ν. Μαηζαηζίλεο θαη Κ. Ενπνπλίδεο, (2007), ―Έλαο Τβξηδηθόο Αιγόξηζκνο Πεξηνξηζκέλεο Αλαδήηεζεο θαη Γηαδηθαζίαο Άπιεζηεο Σπρνπνηεκέλεο Πξνζαξκνζηηθήο Αλαδήηεζεο γηα ην Πξόβιεκα Οκαδνπνίεζεο‖, πζηήκαηα Απνθάζεσλ κε Πνιιαπιά Κξηηήξηα, Ν. Μαηζαηζίλεο θαη Κ. Ενπνπλίδεο (Δθδόηεο), 133145, Κιεηδάξηζκνο. 5.9 Δπηκέιεηα Βηβιίσλ 130. Γ. Αζθνύλεο, Η. Μαξηλάθεο θαη Α. Νεάξρνπ, (2012), Δπηκέιεηα Διιεληθήο Έθδνζεο ηνπ βηβιίνπ Operations and Supply Chain Management, F. Robert Jacobs and Richard B. Chase (Publisher McGraw-Hill Irwin), Διιεληθόο ηίηινο: Γηνίθεζε Λεηηνπξγηώλ θαη Δθνδηαζηηθήο Αιπζίδαο, 1ε Διιεληθή Έθδνζε θαη 13ε Αγγιηθή Έθδνζε, Δθδόζεηο Π.Υ. Παζραιίδεο βηβιηνζήθε Οηθνλνκηθώλ Δπηζηεκώλ, Broken Hill Publishers Ltd, ISBN 978-960-489149-8. 5.10 Άιιεο Γεκνζηεύζεηο 131. Ενπνπλίδεο Κσλζηαληίλνο, Μαξηλάθεο Γηάλλεο θαη Μαξηλάθε Μαγδαιελή: ―Βαζηθά κνληέια γηα επηινγέο θαη ρξεκαηννηθνλνκηθέο απνθάζεηο. Οη κέιηζζεο, ηα κπξκήγθηα θαη ε αμηνιόγεζε ηνπ πηζησηηθνύ θηλδύλνπ‖, Κέξδνο, 16/01/2011. 132. Ενπνπλίδεο Κσλζηαληίλνο, Μαξηλάθεο Γηάλλεο θαη Μαξηλάθε Μαγδαιελή: ―Οη κέιηζζεο, ηα κπξκήγθηα θαη ε αμηνιόγεζε ηνπ πηζησηηθνύ θηλδύλνπ‖, Ναπηεκπνξηθή, 19/08/2010. 133. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―πκπεξηθνξά κειηζζώλ θαη πηζησηηθόο θίλδπλνο‖, Καζεκεξηλή, 31/07/2010. 134. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―Μπξκήγθηα ζε ξόιν ... ηξαπεδίηε!‖, BHMASCIENCE, Βηνζπζηήκαηα, 25/07/2010. 135. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―Όηαλ ε θύζε εκπλέεη ηα καζεκαηηθά‖, Υαληώηηθα Νέα, 22/06/2010. 136. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―Σν ζηαπξόιεμν ηεο δηαρείξηζεο ησλ κεηαθνξώλ. Ο ζύλδεζκνο κεηαμύ ηεο παξαγσγήο, ηεο απνζήθεπζεο θαη ηεο θαηαλάισζεο‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 17, 11/06/2007. 137. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―Ζ Δμππεξέηεζε ηνπ πειάηε ζέιεη ηέρλε θαη πξνηεξαηόηεηεο. Οη πξνθιήζεηο θαη νη ιεπηέο ηζνξξνπίεο ζηε δηαλνκή πξντόλησλ‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 16, 04/06/2007. 138. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―Σν Παδι ηεο Γηαλνκήο. Πσο ιακβάλνληαη νη απνθάζεηο γηα ηελ Δθνδηαζηηθή Αιπζίδα‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 16, 04/06/2007. 139. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―Ζ Πξόβιεςε ηεο Εήηεζεο ζηελ Δθνδηαζηηθή Αιπζίδα. Γηαρείξηζε Υσξίο Δθπιήμεηο‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 15, 21/05/2007. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 19 140. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―σζηή Υσξνζέηεζε Δγθαηαζηάζεσλ Ίζνλ Γξήγνξε Αλάπηπμε. Έλα Κξίζηκν Εήηεκα γηα ηελ Δθνδηαζηηθή Αιπζίδα‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 15, 21/05/2007. 141. Μαξηλάθεο Γηάλλεο, Μαξηλάθε Μαγδαιελή θαη Ενπνπλίδεο Κσλζηαληίλνο: ―πζηήκαηα Τπνζηήξημεο Απνθάζεσλ ζηελ Δθνδηαζηηθή Αιπζίδα. Ο ππνινγηζηήο δίλεη ηε ιύζε‖. Αλνηρηό MBA, Σα κπζηηθά ηεο Γηνίθεζεο Δπηρεηξήζεσλ. Γ’ Κύθινο, Σεύρνο 15, 21/05/2007. 5.11 Δθζέζεηο Έξεπλαο θαη Αλάπηπμεο 142. Yannis Marinakis, Repoussis Panagiotis, Christos Tarantilis, Yiannis Mourtos: Energy-Driven Optimization Algorithms Report, ARTISAN Energy-aware enterprise systems for low-carbon intelligent operations Strep Project - ICT for a Low Carbon Economy Program¸ Eu Project No.: 287933, June 2012. 143. Marinakis Y, Migdalas A.: Network for Developing Theory, Methods and Applications of Nonsmooth Analysis and Optimization, Final Report of the project INTAS 97-31854, Brussels, Belgium, April 2002. 144. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.: Comparison and Evaluation Results. Deliverable 3.4.1 of the project DELPHI (26965), European Programme ESPRIT, Brussels, Belgium, October 2000. 145. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.: Calibration and Verification of Prediction Parameters. Deliverable 3.3.1 of the project DELPHI (26965), European Programme ESPRIT, Brussels, Belgium, February 2000. 5.12 Γηδαθηηθέο εκεηώζεηο 146. Μαξηλάθεο Ι.: εκεηώζεηο εκηλαξηαθώλ Γηαιέμεσλ Πξνγξακκαηηζκνύ Ζ/Τ ζε Πεξηβάιινλ MATLAB (VERSION 7.0.1 - Release 14), Μεηαπηπρηαθό Πξόγξακκα Οηθνλνκηθή θαη Γηνίθεζε γηα Μεραληθνύο , Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Παλεπηζηήκην Αηγαίνπ, Μάξηηνο 2006. 147. Μαξηλάθεο Ι., Μπγδαιάο Α.,: πλδπαζηηθή Βειηηζηνπνίεζε, Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο, 3ε Έθδνζε, Οθηώβξηνο 2008, 2ε Έθδνζε, Αύγνπζηνο 2005, 1ε Έθδνζε, επηέκβξηνο 2002. 148. Μπγδαιάο Α., Μαξηλάθεο Ι. Μαπξνκκάηε Α.: ρεδηαζκόο θαη Βειηηζηνπνίεζε ζηελ Γηαρείξηζε ηεο Δθνδηαζηηθήο Αιπζίδαο, Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο, 2003. 149. Σζηλαξάθεο Γ., Μαξηλάθεο Ι., Λνκβάξδνπ .:, Πιεξνθνξηθή Η, Σκήκα Φπζηθώλ Πόξσλ θαη Πεξηβάιινληνο, ΣΔΗ Κξήηεο - Παξάξηεκα Υαλίσλ, Αθαδεκαηθό Έηνο 2002-2003. 150. Μπγδαιάο Α., Μαξηλάθεο Ι.: Δηζαγσγή ζην LINGO, Σκήκα Μεραληθώλ Παξαγσγήο θαη Γηνίθεζεο, Πνιπηερλείν Κξήηεο, Οθηώβξηνο 2001. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 20 6. ΓΙΑΚΡΙΔΙ 1. Σν άξζξν ―Y. Marinakis, M. Marinaki and G. Dounias, (2011), Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem, Information Sciences, 181, 4684 – 4698‖, ηαμηλνκήζεθε: 19ν βάζε ηνπ Top 25 Hottest Articles in the subject area “Mathematics”, Elsevier, July to September 2010, 10ν βάζε ηνπ Top 25 Hottest Articles in Information Sciences, Elsevier, July to September 2010, 18ν βάζε ηνπ Top 25 Hottest Articles in Information Sciences, Elsevier, October to December 2010, 24ν βάζε ηνπ Top 25 Hottest Articles in Information Sciences, Elsevier, July to September 2011. 2. Σν άξζξν ―Y. Marinakis, M. Marinaki and G. Dounias, (2010), A Hybrid Particle Swarm Optimization Algorithm for the Vehicle Routing Problem, Engineering Applications of Artificial Intelligence, 23, 463-472‖ ηαμηλνκήζεθε: 1ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, April to June 2010, 7ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, July to September 2010, 4ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, January to December 2011 full year, 11ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, April to June 2011, 9ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, October to December 2011, 6ν βάζε ηνπ Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, January to March 2012. 3. Σν άξζξν ―M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), Honey Bees Mating Optimization Algorithm for Financial Classification Problems, Applied Soft Computing, 10, 806-812‖ ηαμηλνκήζεθε: 12ν βάζε ηνπ Top 25 Hottest Articles in Applied Soft Computing, Elsevier, April to June 2010, 23ν βάζε ηνπ Top 25 Hottest Articles in Applied Soft Computing, Elsevier, July to September 2010. 4. To άξζξν ―Y. Marinakis and M. Marinaki (2010), A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem, Computers and Operations Research, 37, 432-442‖ ηαμηλνκήζεθε: 10ν βάζε ηνπ Top 25 Hottest Articles in Computers and Operations Research, Elsevier, October to December 2009, 18ν βάζε ηνπ Top 25 Hottest Articles in Computers and Operations Research, Elsevier, October 2009 to September 2010 Academic Year . 5. Eηδηθόο Μεηαπηπρηαθόο Τπόηξνθνο ζην Πνιπηερλείν Κξήηεο, από ηνλ Ηαλνπάξην ηνπ 2000 κέρξη ηνλ Φεβξνπάξην ηνπ 2002. 6. Τπνηξνθίεο από ην Σερληθό Δπηκειεηήξην Διιάδαο ηα έηε 1996-97 θαη 199798. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 21 7. Τπνηξνθίεο από ην Ίδξπκα Κξαηηθώλ Τπνηξνθηώλ ηα έηε 1996-97 θαη 199798. 7. ΚΡΙΣΗ ΑΡΘΡΧΝ Δ ΓΙΔΘΝΗ ΔΠΙΣΗΜΟΝΙΚΑ ΠΔΡΙΟΓΙΚΑ ΚΑΙ ΤΝΔΓΡΙΑ 271 187 Total Journals with Impact Factor Impact Factor Number Applied Soft Computing 2,14 35 Engineering Applications of Artificial Intelligence 1,625 21 Computers and Operations Research 1,909 18 Soft Computing 1,124 13 IEEE Transactions on Evolutionary Computation 4,81 12 European Journal of Operational Research 2,038 10 Optimization Letters 1,654 10 Information Sciences 3,643 9 Applied Mathematics and Computation 1,349 7 International Journal of Artificial Intelligence Tools 0,22 4 The Scientific World Journal 1,73 4 Neural Computing & Applications 1,168 3 Neurocomputing 1,634 3 Applied Mathematics and Modelling 1,706 2 Communications in Nonlinear Science and Numerical Simulations 2,773 2 International Journal of Machine Tools & Manufacture 2,262 2 Journal of Zhejiang University SCIENCE A 0,527 2 Transportation Research C IEEE Computational Intelligence Magazine 2,006 4,629 2 1 Omega 3,024 1 IEEE Transactions on Power Systems IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 2,921 1 2,548 1 Transportation Research Part E 2,272 1 Expert Systems with Applications 1,854 1 Energies International Journal of Production Research 1,844 1,46 1 1 Mathematical Problems in Engineering 1,383 1 Entropy 1,347 1 International Journal of Systems Science 1,305 1 Transportation Research Part D 1,291 1 IIE Transactions 1,287 1 Simulation Modelling Practice and Theory 1,159 1 Annals of Operations Research 1,029 1 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 22 Environmental Modeling and Assessment 0,977 1 Engineering Optimization 0,962 1 Journal of Classification 0,865 1 TOP 0,843 1 Journal of Applied Mathematics 0,834 1 Journal of Intelligent and Robotic Systems Optimization A Journal of Mathematical Programming and Operations Research 0,827 1 0,707 1 Connection Science 0,706 1 Journal of earth systems sciences 0,695 1 Journal of Combinatorial Optimization 0,592 1 International Journal of Electronics and Communications 0,551 1 0,5 1 0,482 1 International Journal of Computer Mathematics International Journal of Logistics Journals without Impact Factor 29 Memetic Computing 8 Operational Research. An International Journal 4 Swarm and Evolutionary Computation 4 Human Systems Management 2 International Journal of Information Technology & Decision Making 2 African Journal of Biotechnology 1 Energy Systems 1 International Journal of Data Analysis Techniques and Strategies 1 International Journal of Management Science and Engineering Management 1 New Mathematics and Natural Computation 1 Recent Patents on Electrical Engineering 1 Scientia Iranica 1 Scientific Research and Essayes 1 World Journal of Modeling and Simulation Conferences 19th IEEE International Conference on Tools with Artificial Intelligence, 2007 1 55 8th International Conference on Swarm Intelligence - ANTS 2012 2 10th Balcan Conference of Operations Research - BALCOR 2011 Third International Conference on Computational Aspects of Social Networks CASON 2011 Fourth International Conference on Computational Aspects of Social Networks CASON 2012 Fifth International Conference on Computational Aspects of Social Networks CASON 2013 4 EUROmC – XXVIII – VNS Conference 2 Genetic and Evolutionary Computation Conference - GECCO 2011 5 Genetic and Evolutionary Computation Conference - GECCO 2012 3 Genetic and Evolutionary Computation Conference - GECCO 2013 5th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2010 5 2 2 1 1 2 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 6th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2011 7th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2012 8th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2013 2nd International Conference on Computer and Communication Technology ICCCT 2011 International Conference of Numerical Analysis and Applied Mathematics 2009 21st Mediterranean Conference on Control and Automation - MED 2013 Third World Congress on Nature and Biologically Inspired Computing NABIC 2011 Fourth World Congress on Nature and Biologically Inspired Computing NABIC 2012 Fifth World Congress on Nature and Biologically Inspired Computing NABIC 2013 7th International Conference on Next Generation Web Services Practices - NWESP 2011 8th International Conference on Next Generation Web Services Practices - NWESP 2012 World Congress on Information and Communication Technologies - WICT 2012 23 1 1 2 2 1 2 1 2 2 4 1 7 8. ΜΔΛΟ ΣΗ ΟΡΓΑΝΧΣΙΚΗ ΔΠΙΣΡΟΠΗ ΓΙΔΘΝΧΝ ΔΠΙΣΗΜΟΝΙΚΧΝ ΤΝΔΓΡΙΧΝ [2005] Multilevel Optimization: Algorithms and Applications, May 15-17, Υαληά, Κξήηε. [2003] First International Conference on Computational Management, May 27-30, Αικπξίδα, Απνθνξώλνπ, Κξήηε. 9. ΜΔΛΟ ΣΗ ΔΠΙΣΗΜΟΝΙΚΗ ΔΠΙΣΡΟΠΗ ΓΙΔΘΝΧΝ ΤΝΔΓΡΙΧΝ [2015] Genetic and Evolutionary Computation Conference (GECCO 2015), Ant Colony Optimization and Swarm Intelligence Track, Madrid, Spain, 11-15 July, 2015 [2015] 10th International Conference on Hybrid Artificial Intelligence Systems, Bilbao, Spain, 22-24 June 2015 [2014] World Congress on Information and Communication Technologies (WICT 2014), Malacca, Malaysia, 08-11 December 2014 [2014] 6th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2014), 11-14 August 2014, Tunis, Tunisia [2014] Sixth International Conference on Computational Aspects of Social Networks (CaSON 2014), 30 July -1 August 2014, Porto, Portugal [2014] Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), 30 July -1 August 2014, Porto, Portugal [2014] Genetic and Evolutionary Computation Conference (GECCO 2014), Ant Colony Optimization and Swarm Intelligence Track, Vancouver, BC, Canada, 12-16 July, 2014 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 24 [2014] 9th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 11-13 June 2014 [2013] 9th International Conference on Next Generation Web Services Practices (NwESP 2013), 07-08 December 2013, Casablanca, Morocco [2013] 8th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 11-13 September 2013 [2013] The Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Cagliari, Sardinia, Italy, 3-6 September 2013. [2013] Fifth International Conference on Computational Aspects of Social Networks (CaSON 2013), 12-14 August 2013, Fargo, North Dacota, USA [2013] Fifth World Congress on Nature and Biologically Inspired Computing (NaBIC 2013), 12-14 August 2013, Fargo, North Dacota, USA [2013] Genetic and Evolutionary Computation Conference (GECCO 2013), Ant Colony Optimization and Swarm Intelligence Track, Amsterdam, The Netherlands, 6-10 July, 2013 [2012] EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi, Montenegro [2012] World Congress on Information and Communication Technologies (WICT 2012), India, October 30 - November 2, 2012. [2012] Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2012), 20-22 December 2012, Bhubaneswar, Orissa, India [2012] 8th International Conference on Next Generation Web Services Practices (NwESP 2012), 21-23 November 2012, Sao Carlos, Brazil [2012] Fourth International Conference on Computational Aspects of Social Networks (CaSON 2012), 21-23 November 2012, Sao Carlos, Brazil [2012] Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC 2012), 5-9 November 2012, Mexico City, Mexico [2012] ANTS 2012: 8th International Conference on Swarm Intelligence, Brussels, Belgium, 12-14 September 2012 [2012] Genetic and Evolutionary Computation Conference (GECCO 2012), Ant Colony Optimization and Swarm Intelligence Track, Philadelphia, USA, 7-11 July, 2012 [2012] 7th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 28-30 March 2012 [2011] Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), 19-21 October 2011, Salamanca, Spain [2011] Third International Conference on Computational Aspects of Social Networks (CaSON 2011), 19-21 October 2011, Salamanca, Spain [2011] Seventh International Conference on Next Generation Web Services Practices (NwESP 2011), 19-21 October 2011, Salamanca, Spain [2011] Genetic and Evolutionary Computation Conference (GECCO 2011), Ant Colony Optimization and Swarm Intelligence Track, Dublin, Ireland, 12-16 July, 2011 [2011] 6th International Conference on Hybrid Artificial Intelligence Systems, Wroclaw, Poland, 23-25 May 2011 [2010] 1st National Conference of the Finance Engineering and Banking Society, Athens, Greece, 3-4 December 2010 [2010] 5th International Conference on Hybrid Artificial Intelligence Systems, San Sebastian, Spain, 23-25 June 2010 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 25 [2010] 9th Special Conference of the Hellenic Operational Research Society, Quantitative Models in the Managerial and Financial Decision Making, Agios Nikolaos 28 - 29 May 2010 [2009] 4th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 10-12 June 2009 10. ΔΜΠΔΙΡΙΑ Η/Τ Λεηηνπξγηθά πζηήκαηα: Γιώζζεο Πξνγξακκαηηζκνύ: Τπνινγηζηηθά Παθέηα: Unix, Linux, DOS, Windows 3.1, 95, NT, 98, 2000, Millennium, XP Visual Basic, C, C++, Fortran(77,90,95), Html, PHP MatLab, LINDO, LINGO, MPL, SciLab, Microsoft Office, Star Office, Visio, Ms Project, DreamWeaver, Winteracter, Simul8 11. ΔΡΔΤΝΗΣΙΚΑ ΔΝΓΙΑΦΔΡΟΝΣΑ Αιγόξηζκνη Δκπλεπζκέλνη από ηελ Φύζε Γηαρείξηζε Αιπζίδαο Πξνκεζεηώλ ηνραζηηθνί Αιγόξηζκνη Βειηηζηνπνίεζεο ηνραζηηθή Βειηηζηνπνίεζε Θεσξία Παηγλίσλ Δθνδηαζηηθή Αιπζίδα Γξνκνιόγεζε Oρεκάησλ θαη Γηαλνκέο Δπηρεηξεζηαθή Έξεπλα Μεζεπξεηηθνί Αιγόξηζκνη Έιεγρνο Καηαζθεπώλ Βέιηηζηνο Έιεγρνο Δμόξπμε Γλώζεο από Γεδνκέλα Τπνινγηζηηθά Τπνβνεζνύκελε Ηαηξηθή Λήςε Απνθάζεσλ Πεξηβαιινληηθή Γηαρείξηζε θαη Λήςε Απνθάζεσλ Πνζνηηθέο Μέζνδνη Γηνίθεζεο Υξεκαηννηθνλνκηθή Λήςε Απνθάζεσλ πλδπαζηηθή Βειηηζηνπνίεζε Γηεπίπεδνο Πξνγξακκαηηζκόο Γίθηπα Παξαγσγήο. 12. ΑΛΛΔ ΠΛΗΡΟΦΟΡΙΔ 1. Μέινο ηεο Διιεληθήο Δηαηξείαο Δπηρεηξεζηαθώλ Δξεπλώλ (ΔΔΔΔ) από ην επηέκβξην ηνπ 2006. 2. Μέινο ηνπ EU/ME European Chapter on Metaheuristics 3. Μέινο ηνπ Multiple Criteria Decision Aiding (MCDA) 4. Μέινο ηεο Δπηζηεκνληθήο Δηαηξείαο Υξεκαηννηθνλνκηθήο Μεραληθήο θαη Σξαπεδηθήο 5. Μέινο ηνπ Euro Working Group on Vehicle Routing and Logistics Optimization (VeRoLog) Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 26 13. ΔΠΙΒΛΔΦΗ ΜΔΣΑΠΣΤΥΙΑΚΧΝ ΔΡΓΑΙΧΝ 1. Ο Αιγόξηζκνο ηεο Τερλεηήο Απνηθίαο Μειηζζώλ γηα ην Δπηιεθηηθό Πξόβιεκα ηνπ Πιαλώδηνπ Πσιεηή, Λεκεληηάθεο Υαξίιανο, Φεβξνπάξηνο 2015 2. Φξνλνπξνγξακκαηηζκόο παξαγσγήο ζε βηνκεραλία ράξηηλεο ζπζθεπαζίαο κε ρξήζε αιγνξίζκνπ ζκήλνπο ζσκαηηδίσλ, Κπδσληέσο Κπξηαθή, Φεβξνπάξηνο 2015 3. Μεζεπξεηηθνί θαη Δμειηθηηθνί Αιγόξηζκνη γηα ην Γεληθεπκέλν Πξόβιεκα Αλάζεζεο, Μαζέιεο Γεώξγηνο, Ηαλνπάξηνο 2015 4. Δπίιπζε ηνπ Σπζζσξεπηηθνύ Πξνβιήκαηνο δξνκνιόγεζεο κε απηνξπζκηδόκελν αιγόξηζκν ηεο απνηθίαο κπξκεγθηώλ, Κπξηαθάθεο Νηθόιανο – Αληώληνο, Ηαλνπάξηνο 2015 5. Δθαξκνγή ηνπ αιγνξίζκνπ βειηηζηνπνίεζεο απνηθίαο κειηζζώλ ζε πξνβιήκαηα δξνκνιόγεζεο νρεκάησλ, Μαξαγθνπδάθεο Αλδξέαο, Μάξηηνο 2013 6. Αλάπηπμε αιγνξίζκνπ ηερλεηνύ αλνζνπνηεηηθνύ ζπζηήκαηνο γηα ηελ επίιπζε ηνπ πξνβιήκαηνο πξνγξακκαηηζκνύ εξγαζηώλ ζπλερνύο ξνήο, Ραπαλάθε Δκκαλνπέια, Ννέκβξηνο 2012 7. Δπίιπζε πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ κε ζηνραζηηθή δήηεζε κε ρξήζε Αιγνξίζκσλ Δκπλεπζκέλσλ από ηε Φύζε, Ηνξδαλίδνπ Ρνπκπίλε – Γεσξγία, Οθηώβξηνο 2012 8. Δπίιπζε ηνπ πξνβιήκαηνο ηνπ Πιαλόδηνπ Πσιεηή κε πνιιαπιέο αληηθεηκεληθέο ζπλαξηήζεηο κε ρξήζε ηνπ αιγνξίζκνπ Βειηηζηνπνίεζεο Εεπγαξώκαηνο Μειηζζώλ, Φύραο Γεκήηξηνο-Ζξαθιήο, Οθηώβξηνο 2012 9. Δπίιπζε ηνπ πξνβιήκαηνο Πιαλόδηνπ Πσιεηή κε πνιιαπιέο αληηθεηκεληθέο ζπλαξηήζεηο κε ρξήζε ηνπ Αιγόξηζκνπ Δπηινγήο Κιώλσλ, Γειήκπαζε Διέλε, Οθηώβξηνο 2012 10. Δθαξκνγή ηνπ αιγνξίζκνπ Τερλεηήο Απνηθίαο Μειηζζώλ ζε πξνβιήκαηα ρσξνζέηεζεο εγθαηαζηάζεσλ, Πατδάθεο Παλαγηώηεο, Ηνύιηνο 2012 11. Τν πξόβιεκα ηεο δξνκνιόγεζεο νρεκάησλ κε πνιιαπιέο απνζήθεο ιπκέλν κε ηε κέζνδν ηεο βειηηζηνπνίεζεο ζκήλνπο ζσκαηηδίσλ, Αιεβίδνο Μηράιεο, Μάξηηνο 2012 12. Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ κε Φξνληθά Παξάζπξα κέζσ Μηκεηηθνύ Αιγόξηζκνπ, Γεκήηξνπιαο Γηνλύζηνο, Ηαλνπάξηνο 2012 13. Φσξνζέηεζε Δγθαηαζηάζεσλ Απιήο Αλάζεζεο κε Πεξηνξηζκνύο Φσξεηηθόηεηαο κε ηνλ Αιγόξηζκν Βειηηζηνπνίεζεο Εεπγαξώκαηνο Μειηζζώλ, Φηκνύιεο ηαύξνο, Ηαλνπάξηνο 2012 14. Μνληεινπνίεζε θαη αιγόξηζκνη βειηηζηνπνίεζεο πξνβιεκάησλ ζαιάζζησλ κεηαθνξώλ, Σζακπάο Πέηξνο, Μάξηηνο 2011 15. Γηαρείξηζε Αεξνπνξηθνύ Υιηθνύ ζε Αεξνπνξηθή Δηαηξεία, Γνιαςάθε Δπαγγειία, Ννέκβξηνο 2010. 16. Έλα ζύζηεκα ππνζηήξημεο απνθάζεσλ γηα ηελ επίιπζε πξνβιεκάησλ εθνδηαζηηθήο αιπζίδαο κε ηελ ρξήζε εμειηθηηθώλ αιγνξίζκσλ, Ρνγδάθεο Ησάλλεο, Ννέκβξηνο 2010 17. Πξνζαξκνγή θαη εθαξκνγή κεζεπξεηηθώλ αιγνξίζκσλ ζηελ επίιπζε πξνβιεκάησλ ζρεδηαζκνύ δηθηύσλ, Σδηιηβάθεο Αληώληνο, Ννέκβξηνο 2010 18. Αλάπηπμε Αιγνξίζκνπ Τερλεηνύ Αλνζνπνηεηηθνύ Σπζηήκαηνο γηα ηελ Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ, Δπηπρία Γεσξγίνπ, Υαληά, Απξίιηνο 2010 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 27 19. Αλάπηπμε εμειηθηηθνύ αιγνξίζκνπ γηα ηελ επίιπζε πξνβιεκάησλ δηεπίπεδεο βειηηζηνπνίεζεο, (ζπλεπηβιέπσλ Β. Κνπτθόγινπ), Βιάζζε Αλησλία, Μάξηηνο 2010. 20. Αλάπηπμε Δμειηθηηθνύ Αιγνξίζκνπ γηα ην Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ κε Σηνραζηηθή Εήηεζε, Παξαζθεπή παλνύ, Υαληά Φεβξνπάξηνο 2010 21. Δπίιπζε ηνπ πξνβιήκαηνο πξνγξακκαηηζκνύ εξγαζηώλ κε ηελ ρξήζε αιγνξίζκσλ εκπλεπζκέλσλ από ηελ θύζε, Μηραήι Βηηηώξηαο, Υαληά, Ηαλνπάξηνο 2010 22. Βειηηζηνπνίεζε ζρεδηαζκνύ ζπζηεκάησλ αλαλεώζηκσλ πεγώλ ελέξγεηαο κε ρξήζε γελεηηθώλ αιγνξίζκσλ θαη αιγνξίζκσλ λνεκνζύλεο ζκήλνπο, Άξεο Κνξλειάθεο, Υαληά, επηέκβξηνο 2009 23. Τν Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ κε Σηνραζηηθή Εήηεζε θαη Φξνληθά Παξάζπξα, Βαζηιηθνύ Ακαιία, Σκήκα Μεραληθώλ Οηθνλνκίαο θαη Γηνίθεζεο, Υίνο, Μάξηηνο 2008. 14. ΔΠΙΒΛΔΦΗ ΓΙΠΛΧΜΑΣΙΚΧΝ ΔΡΓΑΙΧΝ ΣΟ ΣΜΗΜΑ ΜΗΥΑΝΙΚΧΝ ΠΑΡΑΓΧΓΗ ΚΑΙ ΓΙΟΙΚΗΗ 1. Τν Πξόβιεκα δξνκνιόγεζεο κε παξαιαβέο θαη παξαδόζεηο κε ρξήζε ηνπ αιγνξίζκνπ Πεξηνξηζκέλεο Αλαδήηεζεο, Γνληδάθεο Ησάλλεο, Ηνύιηνο 2014 2. Δπίιπζε πξνβιήκαηνο δηαλνκήο πιηθώλ ζε νδηθό δίθηπη κε ηε βνεζεία ηνπ γελεηηθνύ αιγνξίζκνπ ηεο κνπζηθήο αξκνλίαο ζε γιώζζα C++, Καλάηνο Δπζύκηνο, Ηνύιηνο 2014 3. Δπίιπζε πξνβιήκαηνο πξνγξακκαηηζκνύ παξάγσγεο θαηά παξαγγειία κε ηε ρξήζε ηνπ κεζεπξεηηθνύ αιγνξίζκνπ πεξηνξηζκέλεο αλαδήηεζεο, Ηεξσλπκάθεο Κσλζηαληίλνο, Μάξηηνο 2014 4. Αιγόξηζκνο Βειηηζηνπνίεζεο Σκήλνπο Μειηζζώλ γηα πξόβιεκα δξνκνιόγεζεο νρεκάησλ εθνδηαζηηθήο, Παπαδόπνπινο Γεκήηξηνο, Μάξηηνο 2014 5. Μνληεινπνίεζε θαη επίιπζε ηνπ πξνβιεκαηνο αλάζεζεο πειαηώλ ζε απηνθηλεηηζηέο, Φνύληαο Υαξάιακπνο, Μάξηηνο 2014 6. Αιγόξηζκνο Πεξηνξηζκέλεο Αλαδήηεζεο γηα ην πξόβιεκα δξνκνιόγεζεο θαη απνζεκαηνπνίεζεο, Μαξθνπιάθεο Βαζίιεηνο, Οθηώβξηνο 2013 7. Τν Σπζζσξεπηηθό Πξόβιεκα δξνκνιόγεζεο νρεκάησλ κε ρξήζε αιγνξίζκνπ ACO, Κπξηαθάθεο Νηθόιανο-Αληώληνο, Οθηώβξηνο 2013 8. Δμειηθηηθόο αιγόξηζκνο βειηηζηνπνίεζεο ηνπ πξνβιήκαηνο ρξνλνπξνγξακκαηηζκνύ παξαγσγήο, Εσγξάθνο Γηώξγνο, Οθηώβξηνο 2013 9. Μεζεπξεηηθόο αιγόξηζκνο γηα ρξνλνπξνγξακκαηηζκό εξγαζηώλ, Κνπξνπληώηεο Γηώξγνο, Οθηώβξηνο 2013 10. Δπίιπζε ηνπ πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ κε πνιιαπιέο απνζήθεο κε ρξήζε γελεηηθνύ αιγόξηζκνπ πνιιαπιώλ πιεζπζκώλ-λεζηώλ, Μπαληνπβάθεο Γηώξγνο – Παλαγηώηεο, Ηνύιηνο 2013 11. Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ κε Πνιιαπιέο Απνζήθεο, Κνκπόηεο Παλαγηώηεο, Απξίιηνο 2013 12. Δπίιπζε ηνπ Πεξηνξηζκέλεο Φσξεηηθόηεηαο Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ γηα ηελ Δμππεξέηεζε Πειαηώλ κέζα ζε Γεδνκέλα Φξνληθά Παξάζπξα κε Φξήζε ηνπ Αιγνξίζκνπ Βειηηζηνπνίεζεο Απνηθίαο Μπξκεγθηώλ, Σηκνζεάηνο Παλαγηώηεο, Μάξηηνο 2013 13. Δύξεζε Βέιηηζηεο Λύζεο Γπλακηθνύ Αζζύκεηξνπ Πξνβιήκαηνο Πιαλώδηνπ Πσιεηή, Βαζηιαθάθνο Βαζίιεηνο, Μάξηηνο 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 28 14. Δπίιπζε ηνπ Πξνβιεκάησλ P-Μέζσλ θαη Φσξνζέηεζεο Δγθαηαζηάζεσλ Πεξηνξηζκέλεο Φσξεηηθόηεηαο κε ηνλ Αιγόξηζκν Βειηηζηνπνίεζεο Απνηθίαο Μπξκεγθηώλ, Ξπδηάο Γεώξγηνο, (Ζιεθηξνληθόο Μεραληθόο – ζπλεπηβιέπσλ Γ. ηαπξαθάθεο), Ννέκβξηνο 2012 15. Δπίιπζε ηνπ πξνβιήκαηνο δξνκνιόγεζεο απνζεκάησλ κε ρξήζε ηνπ αιγνξίζκνπ βειηηζηνπνίεζεο ζσκαηηδίσλ, Γαθέξκνο ηέιηνο, Οθηώβξηνο 2012 16. Υβξηδηθνί αιγόξηζκνη δηαθνξηθήο εμέιημεο ζην πξόβιεκα πξνγξακκαηηζκόο ζπζηεκάησλ παξαγσγήο ζπλερνύο ξνήο - Δθαξκνγή κε πξαγκαηηθά δεδνκέλα εηαηξίαο κε επέιηθην ζύζηεκα παξαγσγήο ζπλερνύο ξνήο. Γεπνύληε Χξαηνδήιε, Οθηώβξηνο 2012 17. Δμειηθηηθόο Αιγόξηζκνο γηα ην Δπηιεθηηθό Πξόβιεκα ηνπ Πιαλόδηνπ Πσιεηή. Πνιίηεο Μηραήι, επηέκβξηνο 2012 18. Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ θαη Φσξνζέηεζεο Δγθαηαζηάζεσλ κε ηε ρξήζε Μηκεηηθώλ Αιγνξίζκσλ. Μαληλάθεο Αλδξέαο, Μάξηηνο 2012 19. Ejection Chain Algorithms γηα ηελ επίιπζε TSP θαη VRP πξνβιεκάησλ. ηακαηόπνπινο Δπζηάζηνο, Γεθέκβξηνο 2011 20. Δπίιπζε ηνπ Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ κε Φξνληθά Παξάζπξα κε ηνλ Αιγόξηζκν Πεξηνξηζκέλεο Αλαδήηεζεο, Κσλζηαληίλνο Κόιιηαο, Μαΐνο 2011 21. Τν πξόβιεκα δξνκνιόγεζεο απνζεκάησλ κε ηε ρξήζε γελεηηθώλ αιγνξίζκσλ, Λεσλίδαο Υαβδνύιαο, Μάξηηνο 2011 22. Δπίιπζε πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ κε ζηνραζηηθή δήηεζε κε ρξήζε ηνπ Αιγνξίζκνπ Βειηηζηνπνίεζεο Σκήλνπο Σσκαηηδίσλ, Ηνξδαλίδνπ Γεσξγία – Ρνπκπίλε, Μάξηηνο 2011 23. Ζ Γηαρείξηζε ησλ Απνζεκάησλ ζηελ Δθνδηαζηηθή Αιπζίδα. Ζ πεξίπησζε ηνπ πξνβιήκαηνο ηεο δξνκνιόγεζεο ησλ απνζεκάησλ, Γπκλόπνπινο Κσλζηαληίλνο, Φεβξνπάξηνο 2011 24. Δπίιπζε ηνπ πξνβιήκαηνο ηνπ Πιαλόδηνπ Πσιεηή κε πνιιαπιέο αληηθεηκεληθέο ζπλαξηήζεηο κε ρξήζε ηνπ αιγνξίζκνπ Γηαθνξηθήο Δμέιημεο, Φύραο Γεκήηξηνο – Ζξαθιήο, Γεθέκβξηνο 2010 25. Δπίιπζε ηνπ πξνβιήκαηνο πιαλόδηνπ πσιεηή κε πνιιαπιέο αληηθεηκεληθέο ζπλαξηήζεηο κε ρξήζε ηνπ Αιγόξηζκνπ Βειηηζηνπνίεζεο Σκήλνπο Σσκαηηδίσλ, Γειήκπαζε Διέλε, Γεθέκβξηνο 2010 26. Δπίιπζε ηνπ πξνβιήκαηνο δξνκνιόγεζεο νρεκάησλ ρσξίο επηζηξνθή ζηελ απνζήθε κε ηνλ Αιγόξηζκν Βειηηζηνπνίεζεο Απνηθίαο Μπξκεγθηώλ, Απξειηώλεο ππξίδσλ, Ννέκβξηνο 2010 27. Δπίιπζε Πξνβιήκαηνο Γξνκνιόγεζεο Ορεκάησλ κε ηε Φξήζε Αιγνξίζκνπ Πεξηνξηζκέλεο Αλαδήηεζεο, Μπισλάο Ηππνθξάηεο, Οθηώβξηνο 2010. 28. Απνηύπσζε Φξεκαηηζηεξηαθώλ Γεηθηώλ κέζσ ελόο Μεζεπξεηηθνύ Αιγνξίζκνπ Πνιπθξηηήξηαο Βειηηζηνπνίεζεο, Παληαδήο Ραθαήι – Γηνγέλεο (ζπλεπηβιέπσλ Μ. Γνύκπνο), Οθηώβξηνο 2010. 29. Αλάπηπμε ππνινγηζηηθνύ ζπζηήκαηνο γηα ηελ επίιπζε πξνβιεκάησλ εθνδηαζηηθήο αιπζίδαο, Βεληδέινο Αζαλάζηνο, (Ζιεθηξνληθόο Μεραληθόο – ζπλεπηβιέπσλ Γ. ηαπξαθάθεο), Οθηώβξηνο 2010. 30. Αλάπηπμε αιγνξίζκνπ γηα ηελ επίιπζε ηνπ πξνβιήκαηνο p-κέζσλ (p-median) θαη p-θέληξσλ (p-center), Παπαζηεθάλνπ Δπάγγεινο, Ηνύιηνο 2010. 31. Μεζεπξεηηθόο Αιγόξηζκνο γηα ηελ Δπίιπζε ηνπ Σύλζεηνπ Πξνβιήκαηνο Φσξνζέηεζεο Δγθαηαζηάζεσλ θαη Γξνκνιόγεζεο Ορεκάησλ, ηξαηάθε Υξπζάλζε, Ηνύληνο 2010 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 29 32. Δθαξκνγή Γελεηηθώλ Αιγνξίζκσλ ζην Πξόβιεκα Γηαλνκήο κηαο Δηαηξείαο Αινπκηλίνπ, Κνύλνππα Υξπζνύια, Φεβξνπάξηνο 2010 33. Βειηηζηνπνίεζε ηνπ εθνδηαζκνύ ησλ ζπζηεκάησλ εθηξνθήο πηελώλ κε δσνηξνθέο, Γαβξείινγινπ Δπζηάζηνο, Ηαλνπάξηνο 2010 34. Βειηηζηνπνίεζε θόζηνπο ζηελ Αιπζίδα Γηαλνκήο Πξντόλησλ Supermarket, Αγαιηαλόο Φώηεο, επηέκβξηνο 2009 35. Μεκεηηθόο Αιγόξηζκνο Πνιιαπιώλ Πιεζπζκώλ – Νεζηώλ ζην πξόβιεκα VRP, Ρνγδάθεο Ησάλλεο, επηέκβξηνο 2009 36. Αιγόξηζκνο πιεζηέζηεξνπ γείηνλα γηα ην πξόβιεκα δξνκνιόγεζεο απνζεκάησλ, Σζνπθαιά Γεσξγία, επηέκβξηνο 2009 37. Πξόβιεςε ηεο ηηκήο ηεο Δζληθήο Τξάπεδαο ηεο Διιάδνο κε ρξήζε λεπξσληθώλ δηθηύσλ, σκαξάο Αλδξέαο, Ηνύιηνο 2009. 38. Αιγόξηζκνο Δπαλαιεπηηθήο Δπαλαζύλδεζεο Γηαδξνκώλ κε Φξήζε Τνπηθήο Αλαδήηεζεο γηα ην Πξόβιεκα Γξνκνιόγεζεο Ορεκάησλ, Κηλεθιήο Βαζίιεηνο, Ηνύληνο 2009. 39. Αλαδηάξζξσζε ησλ Απνζεθεπηηθώλ Φώξσλ ηνπ ΟΤΔ κέζσ εθαξκνγήο LOGISTICS, Αζεκηλάθεο Μηραήι, Οθηώβξηνο 2008. 40. Μειέηε πξνβιεκάησλ δξνκνιόγεζεο νρεκάησλ κε ηελ εξγαιεηνζήθε Matlog, Αληξένπ Μαξία, Αύγνπζηνο 2008. 15. ΔΣΔΡΟΑΝΑΦΟΡΔ πλνιηθέο Δηεξναλαθνξέο: 905 The paper ―Particle Swarm Optimization with Expanding Neighborhood Topology for the Permutation Flowshop Scheduling Problem‖, Soft Computing, 17(7), 1159-1173, (2013)‖ is cited by: 1. 2. 3. 4. 5. 6. 7. Chun-Lung Chen, Shin-Ying Huang, Yeu-Ruey Tzeng, Chuen-Lung Chen, A revised discrete particle swarm optimization algorithm for permutation flowshop scheduling problem, Soft Computing, (2014), 18, 2271-2282 DOI 10.1007/s00500-013-1199-z Juan José Palacios, Inés González-Rodríguez, Camino R. Vela, Jorge Puente, Swarm lexicographic goal programming for fuzzy open shop scheduling, Journal of Intelligent Manufacturing DOI 10.1007/s10845-013-0850-y J. Behnamian, Particle swarm optimization-based algorithm for fuzzy parallel machine scheduling, Int J Adv Manuf Technol (2014) 75:883–895 Xiaolei Liang, Wenfeng Li, Yu Zhang, MengChu Zhou, An adaptive particle swarm optimization method based on clustering, Soft Comput DOI 10.1007/s00500-014-1262-4 Hao Liu · Gang Xu · Guiyan Ding · Dawei Li, Integrating opposition-based learning into the evolution equation of bare-bones particle swarm optimization, Soft Comput DOI 10.1007/s00500-014-1444-0 Wu, D., A switching particle swarm optimization for multimodal optimization problem, 2014 Chinese Control Conference, CCC 6896263, pp. 7585-7588 Li, Z., Xu, Z.-H., Gu, X.-S., Improved particle swarm optimization algorithm for multiproduct batch plant scheduling problem with zero wait policy, 2014 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS 20 (7), pp. 1654-1664 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 30 8. Engelbrecht, A.P., Particle swarm optimization, 2014 GECCO 2014 Companion Publication of the 2014 Genetic and Evolutionary Computation Conference pp. 381-406 9. Li, J.-Q., Pan, Q.-K., Mao, K., Hybrid particle swarm optimization for hybrid flowshop scheduling problem with maintenance activities, Scientific World Journal 2014, 596850 10. Engelbrecht, A.P. Particle swarm optimization: Global best or local best? Proceedings - 1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013 6855840, pp. 124-135 The paper ―Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands‖, Applied Soft Computing, 13, 1693-1704, 2013‖ is cited by: 11. Takwa Tlili, Sami Faiz and Saoussen Krichen, INTEGRATION OF GIS AND OPTIMIZATION ROUTINES FOR THE VEHICLE ROUTING PROBLEM, International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.2, No.2, June 2013, DOI : 10.5121/ijccms.2013.2202, 9-17 12. FAN Cheng-li, XING Qing-hua, FAN Hai-xiong, LI-Xiang, The Particle Swarm Optimization and Variable Neighborhood Search Algorithm with Convergence Criterions, Control and Decision, 29 (4), DOI: 10.13195/j.kzyjc.2012.1913 13. Zhen Yaobao, Hu Ping, and Yang Shu, An Improved Particle Swarm Optimization for the Automobile Spare Part Warehouse Location Problem, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 726194, 6 pages, http://dx.doi.org/10.1155/2013/726194 14. Hao Liu, Guiyan Ding, Bing Wanga, Bare-bones particle swarm optimization with disruption Operator, Applied Mathematics and Computation 238 (2014) 106–122 15. Naser Ghorbani, Ebrahim Babaei, Exchange market algorithm, Applied Soft Computing 19 (2014) 177–187 16. P. Loganthurai, V. Rajasekaran, K. Gnanambal, Optimization of operating schedule of machines in granite industry using evolutionary algorithms, Energy Conversion and Management 86 (2014) 809–817 17. Junliang He, Youfang Huang, Wei Yan, Yard crane scheduling in a container terminal for the trade-off between efficiency and energy consumption, Adv. Eng. Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.09.003 18. Hung-Hsu Tsai, Bae-Muu Chang, Shin-Hung Liou, Rotation-invariant texture image retrieval using particle swarmoptimization and support vector regression, Applied Soft Computing 17 (2014) 127–139 19. Angel A. Juan, Jarrod Goentzel, Tolga Bektas, Routing fleets with multiple driving ranges: Is it possible to use greener fleet configurations? Applied Soft Computing 21 (2014) 84–94 20. de Araújo, P. L. F., Horstkemper, D., de Siqueira, D., Hellingrath, B., Gomes, P. d. L. M., & Buarque, d. L. N. F. (2013). Comparison of Optimization Techniques for Complex Supply Chain Network Planning Problems. In Proceedings of the XXVII Congresso Nacional de Pesquisa e Ensino em Transporte, Belém, Brasilien Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 31 21. Bárbara de Cássia Xavier Cassins Aguiar, Paulo Henrique Siqueira, Giancarlo de França Aguiar, Luzia Vidal de Souza, Particle Swarm Optimization for Vehicle Routing Problem with Fleet Heterogeneous and Simultaneous Collection and Delivery, Applied Mathematical Sciences, Vol. 8, 2014, no. 77, 3833 – 3849, http://dx.doi.org/10.12988/ams.2014.45366 22. Hao Liu · Gang Xu · Guiyan Ding · Dawei Li, Integrating opposition-based learning into the evolution equation of bare-bones particle swarm optimization, Soft Comput DOI 10.1007/s00500-014-1444-0 23. Lorena S. Reyes-Rubiano, Carlos L. Quintero-Araújo, Andrés F. TorresRamos, Modelo Matemático para la Programación de Personal Especializado en Logística Humanitaria Post-Desastre, Twelfth LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI‘2014) ―Excellence in Engineering To Enhance a Country‘s Productivity‖ July 22 24, 2014 Guayaquil, Ecuador. 24. Zeng, Y., Li, W.-J., Chen, Y.-Y., Tang, L.-R., A congestion avoidance algorithm based on the service priority for electric power dispatching data network, 2014 Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control 42 (2), pp. 49-55 25. Ma, H.W., The optimization model for vehicle routing program based on travel time reliability, 2014 Applied Mechanics and Materials 543-547, pp. 12-15 26. Ying, Z., Jiang, K.-M., Chen, Y.-Y., Tang, L.-R., A novel load balancing algorithm based on binary particle swarm optimization for heterogeneous integrated networks, 2013 Proceedings - International Conference on Natural Computation 6818023, pp. 476-480 The paper ―Multiple Phase Neighborhood Search GRASP for the Capacitated Vehicle Routing Problem‖, Expert Systems with Applications, 39, 6807-6815‖ is cited by: 27. Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle Routing Problem by using an Effective Reactive Bone Route Algorithm, Transportation Research Journal 1 (2012) 51-67 28. Saoussen Krichen and Sami Faiz, Geographical Information Systems and Spatial Optimization, CRC Press 2012, Print ISBN: 978-1-4665-7747-3, eBook ISBN: 978-1-4665-7748-0 29. Layeb, A., Ammi, M., Chikhi, S., A GRASP algorithm based on new randomized heuristic for vehicle routing problem, Journal of Computing and Information Technology 21 (1) , pp. 35-46, 2013 30. Tang, J., Ma, Y., Guan, J., Yan, C., A Max-Min Ant System for the split delivery weighted vehicle routing problem, Expert Systems with Applications 40 (18) , pp. 7468-7477, 2013. 31. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green Vehicle Routing Problem: Past and future trends, Expert Systems with Applications 41 (4 PART 1) , pp. 1118-1138, 2014 32. Jovanović, A.D., Pamučar, D.S., Pejčić-Tarle, S., Green vehicle routing in urban zones - A neuro-fuzzy approach, Expert Systems with Applications 41 (7) , pp. 3189-3203, 2014 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 32 The paper ―Vibration Control of Beams with Piezoelectric Sensors and Actuators using Particle Swarm Optimization‖, Expert Systems with Applications, 38, 68726883, 2011‖ is cited by: 33. Sonda Hbaieb, Souhail Dhouib, and Habib Chabchoub, A Decision Support System Based on Metaheuristic Model for Aircrafts Landing Problems, R. Meersman, T. Dillon, and P. Herrero (Eds.): OTM 2011 Workshops, LNCS 7046, pp. 571–580, 2011. © Springer-Verlag Berlin Heidelberg 2011 34. S. Mobayen, A. Rabiei, M. Moradi and B. Mohammady, Linear quadratic optimal control system design using particle swarm optimization algorithm, International Journal of the Physical Sciences Vol. 6(30), pp. 6958 - 6966, 23 November, 2011 DOI: 10.5897/IJPS11.726, ISSN 1992 – 1950, Academic Journals 35. Ji Chun Xing, Li Zhong Xu, Study on in-Plane Bending Vibration of a Combined Ring-Beam, Applied Mechanics and Materials (Volumes 117 119) Volume Materials and Computational Mechanics, 319-322 DOI 10.4028/www.scientific.net/AMM.117-119.319, 2011 36. Precup, R-E., Tomescu, M.L., Rădac, M-B., Petriu, E.M., Preitl, S., Dragoş, C-A., Iterative performance improvement of fuzzy control systems for three tank systems, Expert Systems with Applications (2012), 39, 9, 8288-8299. 37. S. Mobaieen, B. Mohamady, H. Ghorbani, A. Rabii, Optimal Control Design Using Evolutionary Algorithms with Application to an Aircraft Landing System, Journal of Basic and Applied Scientific Research, 2(2)1876-1882, 2012 38. Raju, V., Maheswari, D., Patnaik, S.K., Active vibration control of piezo actuated cantilever beam using PSO, 2012 IEEE Students' Conference on Electrical, Electronics and Computer Science: Innovation for Humanity, SCEECS 2012 , art. no. 6184834 39. Priya, C., Lakshmi, P., Particle swarm optimisation applied to real time control of spherical tank system, International Journal of Bio-Inspired Computation 4 (4) , pp. 206-216, 2012 40. Dou, Z., Wang, Y., Wang, J., Gao, C., Harmonic parameters method identified by rotational invariance and particle swarm optimization, Journal of Convergence Information Technology 7 (22) , pp. 408-416, 2012 41. I-Tung Yang, Yi-Hung Hsieh, Reliability-based design optimization with cooperation between support vector machine and particle swarm optimization, Engineering with Computers (2013) 29:151–163, DOI 10.1007/s00366-0110251-9 42. Hadi, M.S., Mat Darus, I.Z., Yatim, H., Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using Particle Swarm Optimization, IEEE Symposium on Computers and Informatics, ISCI 2013 , art. no. 6612372 , pp. 39-44 43. Koofigar, H.R., Amelian, S. , Active vibration suppression in smart structures subjected to model uncertainties and environmental disturbances: An adaptive approach, JVC/Journal of Vibration and Control 19 (13) , pp. 2046-2053, 2013 44. Hadi, M.S., Mat Darus, I.Z. , Intelligence swarm model optimization of flexible plate structure system, International Review of Automatic Control 6 (3) , pp. 322-331, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 33 45. Hamid Reza Koofigar, Shahab Amelian, ROBUST ADAPTIVE VIBRATION CONTROL FOR A GENERAL CLASS OF STRUCTURES IN THE PRESENCE OF TIME-VARYING UNCERTAINTIES AND DISTURBANCES, JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 3, pp. 533-541, Warsaw 2013 46. Jin-Wei Liang, Hung-Yi Chen, and Lung Lin, Feedforward Control for Piezoelectric Actuator using Inverse Prandtl-Ishlinskii Model and Particle Swarm Optimization, 2013 CACS International Automatic Control Conference (CACS) December 2-4, Sun Moon Lake, Taiwan, DOI: 978-14799-2383-0 IEEE 47. S.Q. Zhang, R. Schmidt, Static and dynamic FE analysis of piezoelectric integrated thin-walled composite structures with large rotations, Composite Structures 112 (2014) 345–357 48. Lian, J.-W., Chen, H.-Y. Feedforward and feedback control for piezoelectricactuated systems using inverse Prandtl-Ishlinskii model and particle swarm optimization 2014 International Conference on Advanced Mechatronic Systems, ICAMechS 6911563, pp. 313-318 49. Nobahari, H., Hosseini Kordkheili, S.A., Afshari, S.S. Hardware-in-the-loop optimization of an active vibration controller in a flexible beam structure using evolutionary algorithms 2014 Journal of Intelligent Material Systems and Structures 25 (10), pp. 1211-1223 The paper ―Fuzzy Control Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for Vibration Suppression of Smart Structures‖, Structural and Multidisciplinary Optimization, 43, 29-42, 2011‖ is cited by: 50. B. Liu, Y. Gao, A robust control strategy for a direct drive valve based on voice coil motor, Mathematical and Computer Modelling (2011), doi:10.1016/j.mcm.2011.10.032 51. Cheng Cheng · Xiao-Bing Zhang, Interior ballistic charge design based on a modified particle swarm optimizer, Structural and Multidiscilpinary Optimization, DOI 10.1007/s00158-012-0768-6, Springer-Verlag 2012 52. Guo, Y., Sun, Z., Multi-objective optimization grasping planning for multifingered robot hand, Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) 42 (4) , pp. 643-648, 2012 53. Cintra, M.E., Monard, M.C., Camargo, H.A. , On rule learning methods: A comparative analysis of classic and fuzzy approaches, Studies in Fuzziness and Soft Computing 291 , pp. 89-104, 2013 54. J.N. Richardson, G. Nordenson, R. Laberenne, R. F. Coelho, S. Adriaenssens Flexible optimum design of a bracing system for faεade design using multiobjective Genetic Algorithms, Automation in Construction (2013), 32, 80-87. 55. Zorić, N.D., Simonović, A.M., Mitrović, Z.S., Stupar, S.N., Optimal vibration control of smart composite beams with optimal size and location of piezoelectric sensing and actuation, Journal of Intelligent Material Systems and Structures 24 (4) , pp. 499-526 56. Hurel, J. , Mandow, A. , Garcia-Cerezo, A., Tuning a fuzzy controller by particle swarm optimization for an active suspension system, IECON 2012 - Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 57. 58. 59. 60. 61. 62. 34 38th Annual Conference on IEEE Industrial Electronics Society, 25-28 Oct. 2012, 2524 – 2529, Montreal, QC Nemanja D. Zorić, Aleksandar M. Simonović, Zoran S. Mitrović, Slobodan N. Stupar, Aleksandar M. Obradović, Nebojša S. Lukić, Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller, Journal of Sound and Vibration 333 (2014) 5244-5268 Gilberto Reynoso-Meza, Xavier Blasco, Javier Sanchis, Miguel Martínez, Controller tuning using evolutionary multi-objective optimisation: Current trends and applications, Control Engineering Practice 28 (2014) 58–73 Mohd Ariffanan Mohd Basri, Abdul Rashid Husain, Kumeresan A. Danapalasingam, Enhanced Backstepping Controller Design with Application to Autonomous Quadrotor Unmanned Aerial Vehicle, J Intell Robot Syst DOI 10.1007/s10846-014-0072-3 Zhang, T., Li, H.G., Cai, G.P., Li, F.C., Experimental verifications of vibration suppression for a smart cantilever beam with a modified velocity feedback controller, Shock and Vibration 2014, 172570 Nobahari, H., Hosseini Kordkheili, S.A., Afshari, S.S. Hardware-in-the-loop optimization of an active vibration controller in a flexible beam structure using evolutionary algorithms 2014 Journal of Intelligent Material Systems and Structures 25 (10), pp. 1211-1223 El Sadek, H., Zhang, X., Rashad, M., Cheng, C. Improvement of interior ballistic performance utilizing particle swarm optimization Mathematical Problems in Engineering 2014, 156103 The paper ―Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem‖, Information Sciences, 181, 4684 – 4698, 2011‖ is cited by: 63. J. Zhao, Q. Liu, W. Wang, Z. Wei, P. Shi, A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling, Information Sciences (2011), 181, 7, 1212-1223. 64. Fei Kang, Junjie Li, Zhenyue Ma, Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions, Information Sciences 181 (2011) 3508–3531 65. Yu-ting Wang, Jun-qing Li, Kai-zhou Gao, Quan-ke Pan, Memetic Algorithm based on Improved Inver–over operator and Lin–Kernighan local search for the Euclidean traveling salesman problem, Computers and Mathematics with Applications, 62, 7, 2743-2754, 2011. 66. Carlos Eduardo Klein, IDENTIFICAÇÃO NÃO-LINEAR MULTIVARIÁVEL APLICADA NO AMBIENTE AUTOMOTIVO, MSc Thesis, Pontifícia Universidade Católica do Paraná, 2011 67. O. Erdinc, M. Uzunoglu, Optimum design of hybrid renewable energy systems: Overview of different Approaches, Renewable and Sustainable Energy Reviews 16 (2012) 1412– 1425 68. Gertjan Gaillet, Adaptieve routeplanning voor meerdere heterogene voertuigen met vari erende randvoorwaarden, MSc Thesis, Faculteit Ingenieurswetenschappen en Architectuur Vakgroep Informatietechnologie, University of Gent, Belgium. 69. A. Hatamlou, Black hole: A new heuristic optimization approach for data clustering, Information Sciences (2013), 222, 175-184 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 35 70. Qinma Kang, Hong He, Rong Deng Bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization, Applied Mathematics and Computation (2012), 219 (5) , pp. 2589-2600 71. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating optimization algorithm for process planning Problem, Journal of Intelligent Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8, Springer 72. Andrius Blazinskas and Alfonsas Misevicius, Generating High Quality Candidate Sets by Tour Merging for the Traveling Salesman Problem, T. Skersys, R. Butleris, and R. Butkiene (Eds.): ICIST 2012, CCIS 319, pp. 62– 73, 2012, Springer-Verlag Berlin Heidelberg 2012 73. Majid Esmi Jahromi, Mehdi Ehsan, Abbas Fattahi Meyabadi and Taher Niknam, AN INTERACTIVE FUZZY MULTI-OBJECTIVE APPROACH FOR SHORT TERM DG PLANNING, International Journal of Innovative Computing, Information and Control, Volume 8, Number 6, June 2012, ICIC International 2012 ISSN 1349-4198, pp. 4157-4175 74. Jiang, H., Liu, T., Chen, J., An exact algorithm for TSP based on time-delay message broadcasting mechanism in cloud computing environment, Advances in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012 75. Montiel, O., Diaz-Delgadillo, F.J., Sepúlveda, R., Combinatorial Complexity Problem Reduction by the Use of Artificial Vaccines, Expert Systems with Applications (2013), 40, 1871-1879. 76. Marıa Cristina Riff, Elizabeth Montero, Bertrand Neveu, Reducing Calibration Effort for Clonal Selection based Algorithms: A Reinforcement Learning Approach, Knowledge-Based Systems (2013), 41, 54-67 77. Alejandro Alvarado-Iniesta, Jorge L.Garcia-Alcaraz, Manuel Ivan RodriguezBorbon, Aide Maldonado, Optimization of the material flow in a manufacturing plant by use of artificial bee colony algorithm, Expert Systems with Applications 40 (2013) 4785–4790 78. Z. Z. Abidin, M. R. Arshad, U. K. Ngah, An introduction to swarming robotics: application development trends, Artificial Intelligence Review DOI 10.1007/s10462-013-9397-8 79. Qinma Kang & Hong He (2013): Honeybee Mating Optimization Algorithm For Task Assignment In Heterogeneous Computing Systems, Intelligent Automation & Soft Computing, 19:1, 69-84 80. Jorge Ivan Pηrez Rave, Gloria Patricia Jaramillo Αlvarez, Relevant literary space on travelling salesman problem (TSP): contents, classification, methods and fields of inspiration, Producao, 23 (4) , pp. 866-876, 2013 81. Qinma Kang & Hong He (2013): Task assignment for minimizing application completion time using honeybee mating optimization, Frontiers of Computer Science 7 (3) , pp. 404-415 82. Arash Ghorbannia Delavar, Somayyeh Hoseyny, Rouhollah Maghsoudi, BCOBased Optimized Heuristic Strategies for QoS Routing, The Journal of Mathematics and Computer Science Vol .5 No.2 (2012) 105-114 83. Souza, G.R. ; Goldbarg, E.F.G. ; Goldbarg, M.C. ; Canuto, A.M.P., A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem 2012 Brazilian Symposium on Neural Networks (SBRN), 20-25 Oct. 2012, 208 – 213, Curitiba 84. Dhouib Saima, Dhouib Souhail , Chabchoub Habib, Artificial bee colony metaheuristic to find pareto optimal solutions set for engineering design Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 85. 86. 87. 88. 89. 90. 91. 92. 93. 94. 95. 96. 36 problems, 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 28-30 April 2013 , Hammamet, Tunisia, DOI: 10.1109/ICMSAO.2013.6552685 Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete gravitational search algorithm for solving combinatorial optimization problems, Information Sciences 258 , pp. 94-107, 2014 Dhouib, S., Dhouib, S., Chabchoub, H., Artificial bee colony metaheuristic to optimize traceability in food industry, 2013 International Conference on Advanced Logistics and Transport, ICALT 2013 , art. no. 6568495 , pp. 417-420 Feng, X., Ma, M., Yu, H., Lake-energy optimization algorithm for travelling salesman problem, Jisuanji Yanjiu yu Fazhan/Computer Research and Development 50 (9) , pp. 2015-2027, 2013 Celik, Y., Ulker, E., An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization, The Scientific World Journal 2013 , art. no. 370172 Qinma Kang & Hong He (2013) Honeybee Mating Optimization Algorithm For Task Assignment In Heterogeneous Computing Systems, Intelligent Automation & Soft Computing, 19:1, 69-84, DOI: 10.1080/10798587.2013.771438 M. Fatih Tasgetiren, Ozge Buyukdagli, Damla Kızılay, and Korhan Karabulut, A Populated Iterated Greedy Algorithm with Inver-Over Operator for Traveling Salesman Problem, B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 1–12, 2013. © Springer International Publishing Switzerland 2013 Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93, © Springer-Verlag Berlin Heidelberg 2014, B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms , Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-034041_4, Springer International Publishing Switzerland 2014, 45-80 Dhouib, S., Dhouib, S., Chabchoub, H., Artificial Bee Colony metaheuristic to optimize Goal Programming Engineering Design Problems 2013 International Conference on Control, Decision and Information Technologies (CoDIT), 6-8 May 2013, 355 – 358, Hammamet, Tunisia, DOI: 10.1109/CoDIT.2013.6689570 Hsuan-Ming Feng, Kuo-Lung Liao, Hybrid evolutionary fuzzy learning scheme in the applications of traveling salesman problems, Information Sciences 270 (2014) 204–225 Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid honey bee mating optimization algorithm for balancing mixed-model twosided assembly lines, Computers & Operations Research 53 (2015) 32– 41 Wang Yong, Hybrid Max–Min ant system with four vertices and three lines inequality for traveling salesman problem, Soft Comput DOI 10.1007/s00500-014-1279-8 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 37 97. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0 98. Ibrahim, I., Ahmad, H., Ibrahim, Z., Khalil, K., Rahim, M.A.A. Multi-state particle swarm optimization for discrete combinatorial optimization problem, 2014 International Journal of Simulation: Systems, Science and Technology 15 (1), pp. 15-25 The paper ―A Hybrid ACO-GRASP Algorithm for Clustering Analysis, Annals of Operations Research, 188, 343-358, 2011‖ is cited by: 99. H. Brandner, S. Lessmann, S. Vob, A memetic approach to construct transductive discrete support vector machines, European Journal of Operational Research (2013), 230(3), 585-591. The paper ―Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems‖, International Journal of Applied Metaheuristic Computing, 2, 1, 1-17.‖ is cited by: 100. Shivangi Goyal, The Applications Survey : Bee Colony, IRACST – Engineering Science and Technology: An International Journal (ESTIJ), ISSN: 2250-3498, Vol.2, No. 2, April 2012 101. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of Artificial Bee Colony Algorithm, International Journal of Computers & Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061 The paper ―Particle Swarm Optimization for Optimal Product Line Design‖, International Journal of Research in Marketing, 28, 13-22, 2011.‖ is cited by: 102. Chih-Chieh Yang, (2011) Constructing a Hybrid Kansei Engineering System Based on Multiple Affective Responses: Application to Product Form Design, Computers & Industrial Engineering, 60, 4, 760-768, (2011). 103. Michalek, J.J., Ebbes, P., Adiguzel, F., Feinberg, F.M. Papalambros, P.Y., Enhancing marketing with engineering: Optimal product line design for heterogeneous markets, International Journal of Research in Marketing (2011), 28, 1, 1-12. 104. Hauser, J.R., New Developments in Product-Line Optimization, International Journal of Research in Marketing (2011), 28, 1, 26-27. 105. Roberts, J.H., A conceptual framework for studying the interaction of demand, supply and the market environment in product line optimization, International Journal of Research in Marketing (2011), 28, 1, 23-25. 106. Liberali, G., Product line design optimization, International Journal of Research in Marketing (2011), 28, 1, 28-29. 107. Lacourbe, P., A Model of Product Line Design and Introduction Sequence with Reservation Utility, European Journal of Operational Research (2012), 220, 2, 338-348. 108. Müller, Johannes Wertbasierte Portfolio-Optimierung bei SoftwareProduktlinien – Modell, Vorgehen, Umsetzung Universität Leipzig, Doctor rerum politicarum Dissertation, 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 38 109. Kosmadoudi Z, Lim T, Ritchie J, Louchart S, Liu Y, Sung R. Engineering design using game-enhanced CAD: The potential to augment the user experience with game elements. Computer-Aided Design (2012), doi:10.1016/j.cad.2012.08.001 110. Thelma Elita Colanzi, Search Based Design of Software Product Lines Architectures, ICSE 2012, Zurich, Switzerland Doctoral Symposium, 978-14673-1067-3/12/$31.00c 2012 IEEE, 1507-1510 111. Liu, Y., Wang, H., Ji, Y., Liu, Z., Zhao, X., Land use zoning at the county level based on a multi-objective particle swarm optimization algorithm: A case study from Yicheng, China, International Journal of Environmental Research and Public Health 9 (8) , pp. 2801-2826, 2012 112. Tsafarakis, S., Saridakis, C., Baltas, C., Matsatsinis, N., Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous variables, Industrial Marketing Management (2013), http://dx.doi.org/10.1016/j.indmarman.2013.03.002 113. Hadjinicola, G.C., Charalambous, C., Muller, E., Product positioning using a self-organizing map and the rings of influence, Decision Sciences 44 (3) , pp. 431-461, 2013 114. Aaron Don M. Africa, A Computer Store Optimization Model using Particle Swarm Optimization and Simulated Annealing, Journal of Automation and Control Engineering Vol. 2, No. 1, March 2014, 20-25 115. Voulgari, S., Tsafarakis, S., Grigoroudis, E., Matsatsinis, N., Consumeroriented new product development: A review of recent developments, International Journal of Information and Decision Sciences 5 (4), pp. 364392 116. Kim, S.T., Hong, S.R., Kim, C.O. Product attribute design using an agentbased simulation of an artificial market, 2014 International Journal of Simulation Modelling 13 (3), pp. 288-299 The paper ―Fuzzy Control optimized by PSO for vibration suppression of beams‖, Control Engineering and Practice, 18, 618-629, 2010‖ is cited by: 117. R. E. Precup, H. Hellendoorn, A survey on industrial applications of fuzzy control, Computers in Industry (2011), 62, 3, 213-226. 118. Adaptive control and signal processing literature survey (No. 20). International Journal of Adaptive Control and Signal Processing 2010; 24:921–926 Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/acs.1211 119. LI DongXu, LIU Wang, JIANG JianPing & XU Rui, Placement optimization of actuator and sensor and decentralized adaptive fuzzy vibration control for large space intelligent truss structure SCIENCE CHINA Technological Sciences, April 2011 Vol.54 No.4: 853–861 doi: 10.1007/s11431-011-4333-0 120. Rui Xu, Dong Xu Li, Jian Ping Jiang, Fuzzy Vibration Control of Flexible Solar Panel Using Piezoelectric Stack Journal Applied Mechanics and Materials, Vol. 50-51, p. 214-218 DOI 10.4028/www.scientific.net/AMM.5051.214, February, 2011 121. Ahmed, B.S., Zamli, K.Z., A Variable Strength Interaction Test Suites Generation Strategy Using Particle Swarm Optimization, The Journal of Systems and Software (2011), 84 (12), 2171-2185. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 39 122. Ioannis Papachristou, Salonikos Salonikidis, Georgios K. Tairidis and Georgios E. Stavroulakis, ADAPTIVE FUZZY CONTROL OF SMART STRUCTURES – ANFIS, 7th GRACM International Congress on Computational Mechanics Athens, 30 June – 2 July 2011 123. Xiaojin Zhu, Zhiyuan Gao, Quanzhen Huang, Shouwei Gao and Enyu Jiang, Analysis and implementation of MIMO FULMS algorithm for active vibration control, Transactions of the Institute of Measurement and Control, DOI: 10.1177/0142331211415896 124. Hua Wang, Xian-Hai Shen, Liang-Xu Zhang and Xiao-Jin Zhu, Active vibration suppression of flexible structure using a LMI-based control patch, Journal of Vibration and Control published online 5 October 2011, DOI: 10.1177/1077546311415303 125. Chamil Abeykoon, Kang Li, Marion McAfee, Peter J. Martin, Qun Niu, Adrian L. Kelly, Jing Deng, A new model based approach for the prediction and optimization of thermal homogeneity in single screw extrusion, Control Engineering Practice, 19 (2011) 862–874 126. Dongxu X. Li, Rui Xu, and Jiangjian P. Jiang, Experiment Study on Fuzzy Vibration Control of Solar Panel, J. N´aprstek et al. (eds.), Vibration Problems ICOVP 2011: The 10th International Conference on Vibration Problems, Springer Proceedings in Physics 139, DOI 10.1007/978-94-0072069-5 55, © Springer ScienceCBusiness Media B.V. 2011 127. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization Strategy for T-way Software Testing, Journal of Artificial Intelligence, 2012, ISSN 1994-5450, DOI: 10.3923/jai.2012 128. Zhiwen Liu, Hongrui Cao, Xuefeng Chen, Zhengjia He, Zhongjie Shen, Multifault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings, Neurocomputing (2013), 99, 399-410 129. Zhongyang Han, Ying Liu, Jun Zhao, Wei Wang Real time prediction for converter gas tank levels based on multi-output least square support vector regressor. Control Engineering Practice (2012), 20(12), 1400-1409 130. Nuapett Sarasiri, Kittiwong Suthamno and Sarawut Sujitjorn, Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model, Journal of Applied Mathematics, Hindawi Publishing Corporation, 2012, Volume 2012, Article ID 238563, 23 pages, doi:10.1155/2012/238563 131. Lu, P., Chen, S., Zheng, Y. , Artificial intelligence in civil engineering, Mathematical Problems in Engineering 2012 , art. no. 145974, 2012 132. Gilberto Reynoso-Meza, Sergio García-Nieto, Javier Sanchis, and F. Xavier Blasco, Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Digital Object Identifier 10.1109/TCST.2012.2185698, 21(2), 445-458 133. Aliki D. Muradova , Georgios E. Stavroulakis, Fuzzy Vibration Control of a Smart Plate, International Journal for Computational Methods in Engineering Science and Mechanics, Volume 14, Issue 3, 2013, 221-230 134. Migue Angel Olivares Mendez, Soft-Computing Based Visual Control for Unmanned Vehicles, Ph.D. Thesis, Universidad Politecnica de Madrid, Escuela Tecnica Superior De Ingenieros Industriales Doctorado en Automatica Robotica, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 40 135. Nemanja Zorić, Aleksandar Simonović, Zoran Mitrović, Slobodan Stupa, ACTIVE VIBRATION CONTROL OF SMART COMPOSITE BEAMS USING PSO-OPTIMIZED SELF-TUNING FUZZY LOGIC CONTROLLER, JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 2, pp. 275-286, Warsaw 2013 136. Jena, P.K., Thatoi, D.N., Parhi, D.R. , Differential evolution: An inverse approach for crack detection, Advances in Acoustics and Vibration , art. no. 321931, 2013 137. Hadi Nobahari, Seyed A Hosseini Kordkheili, Sajad Saraygord Afshari, Hardware-in-the-loop optimization of an active vibration controller in a flexible beam structure using evolutionary algorithms, Journal of Intelligent Material Systems and Structures, 2013, doi: 10.1177/1045389X13502874 138. Nemanja D. Zorić, Aleksandar M. Simonović, Zoran S. Mitrović, Slobodan N. Stupar, Aleksandar M. Obradović, Nebojša S. Lukić, Free vibration control of smart composite beams using particle swarm optimized self-tuning fuzzy logic controller, Journal of Sound and Vibration 333 (2014) 5244-5268 139. Saeid Aghajanian, Hadi Baghi, Fereidoun Amini, and Masoud Zabihi Samani, Optimal Control of Steel Structures by Improved Particle Swarm, International Journal of Steel Structures June 2014, Vol 14, No 2, 223-230 DOI 10.1007/s13296-014-2003-3 140. Muresan, C.I., Prodan, O. Vibration suppression in smart structures using fractional order PD controllers Proceedings of 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2014 6857907 141. Thatoi, D.N., Choudhury, S., Jena, P.K., Das, H.C., Subudhi, A.K. Identification of transverse crack in beam like structure using PSO, Applied Mechanics and Materials 548-549, pp. 1728-1734, 2014. 142. Hu, Y.-J., Wang, Y., Wang, Z.-L., Wang, Y.-Q., Zhang, B.-C. Machining scheme selection based on a new discrete particle swarm optimization and analytic hierarchy process Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM 28 (1), pp. 71-82, 2014 The paper ―A Hybrid Particle Swarm Optimization Algorithm for the Vehicle Routing Problem‖, Engineering Applications of Artificial Intelligence, 23, 463-472, 2010‖ is cited by: 143. Xinchao Zhao, Guoli Liu, Huqiu Liu, Guoshuai Zhao, Shaozhang Niu, A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Nonuniform Hypermutation, International Journal of Computational Intelligence Systems, Suppl. 1 (December, 2010). 144. Patrick Schittekat, Metaheuristics for Planning in Logistics from Theory to Industrial Applications, Phd Thesis, University of Antwerp 145. X. Geng, Z. Chen, W. Yang, D. Shi, K. Zhao, Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search, Applied Soft Computing Journal (2011), 11, 4, 3680-3689. 146. ZHANG Huiyan, CUI Meiluan, XUE Hong, Research Progress on Control Theory Application to Supply Chain Management Proceedings of the 30th Chinese Control Conference, July 22-24, 2011, Yantai, China, 5794-5799. 147. Wu Junqiang, Ouyang Aijia, A Hybrid Algorithm of ACO and Delete-Cross Method for TSP, 2011 International Conference on Network Engineering Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 148. 149. 150. 151. 152. 153. 154. 155. 156. 157. 158. 159. 160. 41 and Computer Science (ICNECS 2011), Xian, China September 23 - 25, 2011 Bouallegue, S., Haggege, J., Ayadi, M., Benrejeb, M., PID-type fuzzy logic controller tuning based on particle swarm optimization. Engineering Applications of Artificial Intelligence (2012), 25, 3, 484-493. Su, S., Yu, S., Ma, Y., Yang, Y., Xu, H., Routing on a spherical surface using hybrid PSO, Communications in Computer and Information Science 237 CCIS, 2011, pp. 43-51, © Springer-Verlag Berlin Heidelberg 2011 Sonda Hbaieb, Souhail Dhouib, and Habib Chabchoub, A Decision Support System Based on Metaheuristic Model for Aircrafts Landing Problems, R. Meersman, T. Dillon, and P. Herrero (Eds.): OTM 2011 Workshops, LNCS 7046, pp. 571–580, 2011. © Springer-Verlag Berlin Heidelberg 2011 Li Li, Yurong Cheng, Lijing Tan, and Ben Niu, A Discrete Artificial Bee Colony Algorithm for TSP Problem, D.-S. Huang et al. (Eds.): ICIC 2011, LNBI 6840, pp. 566–573, 2012. © Springer-Verlag Berlin Heidelberg. Dong Zhang, Lei Jia, Wen Xing Zhu, A Review of some Intelligent Optimization Algorithms Applied to Intelligent Transportation System, Advanced Materials Research (Volumes 383 - 390) Volume Manufacturing Science and Technology, 5717-5723 DOI 10.4028/www.scientific.net/AMR.383-390.5717 Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang, A Hybrid Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving the Travelling Salesman Problem, International Journal of Operations Research Vol. 9, No. 1, 53−65 (2012) Liu, T., Xu, W., Wu, Q., Modeling of multi-vehicle route searching with soft time windows under sudden-onset disaster, Tongji Daxue Xuebao/Journal of Tongji University 40 (1) , pp. 109-115 Yucheng Kao, Ming-Hsien Chen, and Yi-Ting Huang, A Hybrid Algorithm Based on ACO and PSO for Capacitated Vehicle Routing Problems, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2012, Article ID 726564, 17 pages doi:10.1155/2012/726564 Yin, Z., Yuanfu, L.I., Yang, Z. Temperature prediction for massive concrete in bridge structure based on PSO and RVM, Information 15 (10) , pp. 43214328, 2012 Wu, H.-T., Zhang, G.-J., Hong, Z., Yu, L. , Evolutionary tree road network topology building and the application of multi-stops path optimization, Jisuanji Xuebao/Chinese Journal of Computers 35 (5) , pp. 964-971, 2012 Kao, Y., Chen, M., A hybrid PSO algorithm for the CVRP problem, ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications , pp. 539-543, 2011 Yu Li, Liang Ma, A Hybrid Ant Algorithm for the Vehicle Routing Problem, Applied Mechanics and Materials, 182-183, 2012, 2118-2122, 10.4028/www.scientific.net/AMM. Wu Deng, Rong Chen, Bing He, Yaqing Liu, Lifeng Yin, Jinghuan Guo, A novel two-stage hybrid swarm intelligence optimization algorithm and application, Soft Computing, 16(10), 1707-1722, Springer, 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 42 161. Siamak Noori, S. Farid Ghannadpour, High-Level Relay Hybrid Metaheuristic Method for Multi-Depot Vehicle Routing Problem with Time Windows, Journal of Mathematical Modelling Algorithms, 11(2), 159-179, 2012. 162. Baños, R., Ortega, J., Gil, C., Fernández, A., de Toro, F., A Simulated Annealing-based Parallel Multi-objective approach to Vehicle Routing Problems with Time Windows, Expert Systems with Applications (2013), 40, 1696-1707 163. Qiang, X.-J., Ju-Hua, H., Qun, L., Simulation analysis of controlling buffeting noise based on hybrid particle swarm algorithm, Journal of Convergence Information Technology 7 (23) , pp. 753-761, 2012 164. Wu, J., Ouyang, A. , A hybrid algorithm of ACO and delete-cross method for TSP, Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 , art. no. 6322738 , pp. 1694-1696 165. Amoozegar, M., Nezamabadi-Pour, H. , Software performance optimization based on constrained GSA, AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing , art. no. 6313732 , pp. 134139 166. Shang, Y.-Q., Xu, W., Gu, X.-S., Particle swarm optimization with precrossover and its application in soft-sensor of C 3 concentration of FCCU, Tien Tzu Hsueh Pao/Acta Electronica Sinica 40 (9) , pp. 1885-1888, 2012 167. Gulcin Dinc Yalcin and Nihal Erginel, A Heuristic Based on Integer Programming for the Vehicle Routing Problem with Backhauls, Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 – 6, 2012 168. Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu, Solve Traveling Salesman Problem Using Particle Swarm Optimization Algorithm, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814, 264-271 169. SU Shoubao and CAO Xibin, Jumping PSO with Expanding Neighborhood Search for TSP on a Cuboid, Chinese Journal of Electronics, Vol.22, No.1, Jan. 2013, 202-208 170. Goksal, F. P., Karaoglan, I, Altiparmak, F.. A hybrid discrete particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery. Computers & Industrial Engineering (2013), 65, 39-53 171. Ma Han-Wu, Xu Sen, Zhu Wei, Research on Large Scale Vehicle Routing with handling frequency, Application Research of Computers, 28, 8 Aug,. 2011 172. Fu-Qiang Lu, Min Huang, Wai-Ki Ching, Tak Kuen Siu, Credit portfolio management using two-level particle swarm optimization, Information Sciences 237 (2013) 162–175 173. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21 174. Yucheng Kao and Mei Chen, Solving the CVRP Problem Using a Hybrid PSO Approach, K. Madani et al. (Eds.): Computational Intelligence, SCI 465, pp. 59–67. DOI: 10.1007/978-3-642-35638-4_5 © Springer-Verlag Berlin Heidelberg 2013 175. A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.), Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 176. 177. 178. 179. 180. 181. 182. 183. 184. 185. 186. 187. 188. 43 International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings, DOI: 10.1007/978-3642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112 Lu, F.-Q., Huang, M., Ching, W.-K., Siu, T.K. , Credit portfolio management using two-level particle swarm optimization, Information Sciences 237 , pp. 162-175 Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de Montreal & Universite de Technologie de Troyes, These presentee en vue de l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013 Chen, T., Zhou, G., Vehicle routing optimization problem with time-windows and its solution by genetic algorithm, Journal of Digital Information Management 11 (2) , pp. 136-145 Manuel Lozano, Fred Glover, Carlos García-Martínez, Francisco Javier Rodríguez & Rafael Martí, Tabu Search with Strategic Oscillation for the Quadratic Minimum Spanning Tree, IIE Transactions, 2013, DOI:10.1080/0740817X.2013.768785 ZHU Hao-dong LI Hong-chan, New Adaptive Immune Quantum-Behaved Particle Swarm Optimization Algorithm, MICROELECTRONICS & COMPUTER, 2011, 28(3). Saoussen Krichen and Sami Faiz, Geographical Information Systems and Spatial Optimization, CRC Press 2012, Print ISBN: 978-1-4665-7747-3, eBook ISBN: 978-1-4665-7748-0 Anupam Biswas, K. K. Mishra, Shailesh Tiwari, and A. K. Misra, PhysicsInspired Optimization Algorithms: A Survey, Journal of Optimization Volume 2013 (2013), Article ID 438152, 16 pages http://dx.doi.org/10.1155/2013/438152 Liang, Xiaolei, Li, Wenfeng, Zhang, Yu, Zhong, Ye, Recent advances in particle swarm optimization via population structuring and individual behavior control, 2013 10th IEEE International Conference on Networking, Sensing and Control (ICNSC), 10-12 April 2013 , 503 – 508, Evry, France, DOI: 10.1109/ICNSC.2013.6548790 Yi-Ting Huang, A Hybrid ACO Algorithm for Capacitated Vehicle Routing Problems, Master's Thesis, Tatung University, China, 2011. SHI Guo-hong ZHANG Qing-wen XU Sen, Research on optimization of vehicle routing problem of Regional E-retailer, SCIENCE-TECHNOLOGY AND MANAGEMENT, 2011, 13(2), doi:10.3969/j.issn.10087133.2011.02.020 Tu, W., Fang, Z., Li, Q., Shaw, S.-L., Chen, B., A bi-level Voronoi diagrambased metaheuristic for a large-scale multi-depot vehicle routing problem, Transportation Research Part E: Logistics and Transportation Review 61, pp. 84-97, 2014. Lim, W.H., Isa, N.A.M. , Particle swarm optimization with increasing topology connectivity, Engineering Applications of Artificial Intelligence 27 , pp. 80-102, 2014. Soleimanpour, M., Nezamabadi-pour, H., A modified monkey algorithm for real-parameter optimization, Journal of Multiple-Valued Logic and Soft Computing 21 (5-6) , pp. 453-477, 2013. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 44 189. Zou, S., Li, J., Li, X., A hybrid particle swarm optimization algorithm for multi-objective pickup and delivery problem with time windows, Journal of Computers (Finland) 8 (10) , pp. 2583-2589, 2013. 190. Khajeh, A., Modarress, H., Zeinoddini-Meymand, H., Modified particle swarm optimization method for variable selection in QSAR/QSPR studies, Structural Chemistry 24 (5) , pp. 1401-1409, 2013. 191. Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp. 1321-1340, 2013 192. Gopalakrishnan, K., Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review (Chapter B), Metaheuristic Applications in Structures and Infrastructures, 2013 193. M. Soleimanpour-Moghadam, H. Nezamabadi-pour, M.M. Farsangi, A quantum inspired gravitational search algorithm for numerical function optimization, Information Sciences (2014), 267, 83-100, doi: http://dx.doi.org/10.1016/j.ins.2013.09.006, 267, 83-100 194. Ligang Cui, LinWang, Jie Deng, and Jinlong Zhang, A New Improved Quantum Evolution Algorithm with Local Search Procedure for Capacitated Vehicle Routing Problem, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 159495, 17 pages http://dx.doi.org/10.1155/2013/159495 195. Antonio Polimeni & Antonino Vitetta, Vehicle routing in urban areas: an optimal approach with cost function calibration, Transportmetrica B: Transport Dynamics, DOI: 10.1080/23249935.2013.826747 196. Huafen Yang, You Yang, Dejian Kong, Dechun Dong, Zuyuan Yang, Lihui Zhang, An Improved Particle Swarm Optimization Algorithm, 2013 Ninth International Conference on Natural Computation (ICNC), 23-25 July 2013, 407-411, IEEE, DOI: 10.1109/ICNC.2013.6818010 197. N. Norouzi, M. Sadegh-Amalnick, M. Alinaghian, Measuring and evaluating of the particle swarm optimization in a periodic vehicle routing problem, Measurement (2014), doi: http://dx.doi.org/10.1016/ j.measurement.2014.10.024 198. Le Hoang Son, Optimizing Municipal Solid Waste collection using Chaotic Particle Swarm Optimization in GIS based environments: A case study at Danang city, Vietnam, Expert Systems with Applications 41 (2014) 8062– 8074 199. Wasim A. Hussein, Shahnorbanun Sahran, Siti Norul Huda Sheikh Abdullah, Patch-Levy-based initialization algorithm for Bees Algorithm, Applied Soft Computing 23 (2014) 104–121 200. Qi, C., Li, P., An exponential entropy-based hybrid ant colony algorithm for vehicle routing optimization, Applied Mathematics and Information Sciences 8 (6), pp. 3167-3173, 2014 The paper ―Contribution for optimal sizing of grid-connected PV-systems using PSO, Renewable Energy, 35, 1333-1341‖ is cited by: 201. N. Phuangpornpitak, W. Prommee, S.Tia and W. Phuangpornpitak, A Study of Particle Swarm Technique for Renewable Energy Power Systems, PEA-AIT Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 202. 203. 204. 205. 206. 207. 208. 209. 210. 211. 212. 213. 214. 215. 216. 45 International Conference on Energy and Sustainable Development: Issues and Strategies (ESD 2010), Chiang Mai, Thailand. 2-4 June 2010. Aris Kornelakis, Multiobjective Particle Swarm Optimization for the optimal design of photovoltaic grid-connected systems, Solar Energy 84 (2010) 2022–2033 R. Banos, F.Manzano-Agugliaro, F.G.Montoya, C.Gil, A.Alcayde, J.Gómez, Optimization methods applied to renewable and sustainable energy: A review, Renewable and Sustainable Energy Reviews 15 (2011) 1753–1766 Demetrios P. Papadopoulos, Christos D. Karathodoros and Panagiotis A. Katsigiannis, Extended Design Investigation Based on Techno-Economic and Environmental Considerations of a Grid Connected PV System: Application to a 100 kWp PV System Installed in Eastern Macedonia Region of Greece, The Open Renewable Energy Journal, 2011, 4, 60-71 Raphael Nunes Freire, Análise de viabilidade de Projectos de minigeração Fotovoltaica, Faculdade de Engenharia da Universidade do Porto, MSc Thesis, June 2011 Sulaiman, S.I., Rahman, T.K.A., Musirin, I. Multi-objective evolutionary programming for optimal grid-connected photovoltaic system design International Review of Electrical Engineering 5 (6), pp. 2936-2944, 2010 Omar Hafez, Some Aspects of Microgrid Planning and Optimal Distribution Operation in the Presence of Electric Vehicles, MSc Thesis, Waterloo, Ontario, Canada, 2011 Daniel Gomez-Lorente, Isaac Triguero, Consolacion Gil, A. Espin Estrell. Evolutionary algorithms for the design of grid-connected PV-systems. Expert Systems with Applications (2012), 39, 9, 8086-8094. Hafez O, Bhattacharya K, Optimal planning and design of a renewable energy based supply system for microgrids, Renewable Energy (2012), 45, 7-15 Hassanzadehfard, H., Moghaddas-Tafreshi, S.M., Hakimi, S.M., Optimal sizing of a reliable grid connected micro-grid considering uncertainty and interruptible loads, International Review on Modelling and Simulations 4 (3) , pp. 1216-1225 Sulaiman, S.I., Rahman, T.K.A., Musirin, I. Shaari, S., Sopian, K., An intelligent method for sizing optimization in grid-connected photovoltaic system. Solar Energy (2012), 86, 7, 2067-2082 Ng, S.K.K., Zhong, J., Cheng, J.W.M. , Probabilistic optimal sizing of standalone PV systems with modeling of variable solar radiation and load demand, IEEE Power and Energy Society General Meeting , art. no. 6344878, 2012 Zheng, Y.-J., Chen, S.-Y., Lin, Y., Wang, W.-L., Bio-inspired optimization of sustainable energy systems: A review, Mathematical Problems in Engineering 2013 , art. no. 354523 Hussain, T.N., Sulaiman, S.I., Musirin, I., Shaari, S., Zainuddin, H. , A hybrid artificial neural network for grid-connected photovoltaic system output prediction, IEEE Symposium on Computers and Informatics, ISCI 2013 , art. no. 6612385 , pp. 108-111 Mikati, M., Santos, M., Knowledge-Based Decision System for Sizing GridConnected Photovoltaic Arrays, Advances in Intelligent Systems and Computing 214 , pp. 463-472 , 2014 Perez-Gallardo, J.R., Azzaro-Pantel, C., Astier, S., Domenech, S., AguilarLasserre, A. , Ecodesign of photovoltaic grid-connected systems, Renewable Energy 64 , pp. 82-97, 2014 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 46 217. Shahril Irwan Sulaiman, Zulkifli Othman, Titik Khawa Abdul Rahman, Dimensioning of Photovoltaic Array Using Genetic Algorithm, 2012 International Symposium on Computer Applications and Industrial Electronics (ISCAIE 2012), December 3-4, 2012, Kota Kinabalu Malaysia 218. Perez-Gallardo, J.R. Ecodesign of large-scale photovoltaic (PV) systems with multi-objective optimization and Life-Cycle Assessment (LCA). PhD, Institut National Polytechnique de Toulouse, 2013 219. V.Raviprasad, Dr. Ravindra Kumar Singh Optimal sizing of PV array for critical load with parallel redundant architecture using GA, 2014 First International Conference on Automation, Control, Energy and Systems (ACES), 1-2 Feb. 2014, Hooghy, DOI: 10.1109/ACES.2014.6807976 220. Daniel Gomez-Lorente, Isaac Triguero, Consolaciζn Gil, O. Rabaza, Multiobjective evolutionary algorithms for the design of grid-connected solar tracking systems, Electrical Power and Energy Systems 61 (2014) 371–379 221. Reza Bakhshi, Javad Sadeh, Hamid-Reza Mosaddegh, Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm, Renewable Energy 72 (2014) 386e394 The paper ―Honey Bees Mating Optimization Algorithm for Financial Classification Problems, Applied Soft Computing, 10, 806-812‖ is cited by: 222. Dragan Simić, Vladeta Gajić, and Svetlana Simić, An Approach of Bioinspired Hybrid Model for Financial Markets, M. Graña Romay et al. (Eds.): HAIS 2010, Part I, LNAI 6076, pp. 205–212, 2010. © Springer-Verlag Berlin Heidelberg 2010 223. Renato D. Maia, Leandro N. De Castro, Walmir M. Caminhas, Colonias de Abelhas Comomodelo para Otimizacao Multimodal Continua: Uma Proposta E Analise Parametrica Qualitativa, XVIII Congresso Brasileiro de Automática / 12 a 16-setembro-2010, Bonito-MS 224. S. Garcia, J. Derrac, J. Luengo, C. Carmona, F. Herrera,Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning, Applied Soft Computing Journal (2011), 11, 3032-3045 225. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on Financial Report Analysis, MSc Thesis, National University of Tainan, January 2011 226. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired intelligence for credit scoring, International Journal of Financial Markets and Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49 227. M. Ma, J. Liang, M. Guo, Y. Fan, Y. Yin, SAR image segmentation based on Artificial Bee Colony algorithm, Applied Soft Computing Journal (2011), 11, 8, 5205-5214. 228. Ekrem Duman, Mitat Uysal, and Ali Fuat Alkaya, Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem, C. Di Chio et al. (Eds.): EvoApplications 2011, Part I, LNCS 6624, pp. 254–263, 2011. Springer-Verlag Berlin Heidelberg 2011 229. Junqing Li, Quanke Pan, Shengxian Xie, Flexible Job Shop Scheduling Problems By A Hybrid Artificial Bee Colony Algorithm, 2011 IEEE Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 230. 231. 232. 233. 234. 235. 236. 237. 238. 239. 240. 241. 47 Congress on Evolutionary Computation, 5-8 June 2011, New Orleans USA, DOI:10.1109/CEC.2011.5949601 Bin, W., Qinke, P., Jing, Z., Xiao, C., A Binary Particle Swarm Optimization Algorithm Inspired by Multi-level Organizational Learning Behavior, European Journal of Operational Research (2012), 219, 2, 224-233. O. Erdinc, M. Uzunoglu, Optimum design of hybrid renewable energy systems: Overview of different Approaches, Renewable and Sustainable Energy Reviews 16 (2012) 1412– 1425 Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating optimization algorithm for process planning Problem, Journal of Intelligent Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8, Springer E. Duman, M. Uysal, A.F. Alkaya, Migrating Birds Optimization: A new metaheuristic approach and its application to the quadratic assignment problem, Information Sciences (2012), 217, 65-77 Maia, R.D., De Castro, L.N., Caminhas, W.M., Bee colonies as model for multimodal continuous optimization: The OptBees algorithm, 2012 IEEE Congress on Evolutionary Computation, CEC 2012 , art. no. 6252975 Zhang Chao-qun, Zheng Jian-guo, Wang Xiang, Overview of research on bee colony algorithms, Application Research of Computers, 28, 9, Sep. 2011 Wei, B., Peng, Q., Chen, X., Zhao, J. , An improved particle swarm optimization based on wolves' activities circle, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), art. no. 6359342 , pp. 4557-4562 Maia, R.D., de Castro, L.N., Caminhas, W.M., Collective decision-making by bee colonies as model for optimization - the OptBees algorithm, Applied Mathematical Sciences 7 (85-88) , pp. 4327-4351, 2013 Hendrawan, Y., Murase, H. , Intelligent micro-precision irrigation system for cultured moss mat production in plant factory, Acta Horticulturae 1011 , pp. 465-472, 2013 Chui-Yu Chiu, Pei-Ting Huang, Application of the Honeybee Mating Optimization Algorithm to Patent Document Classification in Combination with the Support Vector Machine, International Journal of Automation and Smart Technology, 3 (3), 2013, 179-191 Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid honey bee mating optimization algorithm for balancing mixed-model twosided assembly lines, Computers & Operations Research 53 (2015) 32–41 Fateen, S.-E.K., Bonilla-Petriciolet, A. Intelligent firefly algorithm for global optimization, Studies in Computational Intelligence, 516, pp. 315-330, 2014 The paper ―A Hybrid Genetic - Particle Swarm Optimization Algorithm for the Vehicle Routing Problem, Expert Systems with Applications, 37, 1446-1455, 2010‖ is cited by: 242. G. Weichart, Ants Swarms and Bees, Communication Enginnering Seminar, 29 November 2009, Germany 243. Tshilidzi Marwala, Finite-element-model Updating Using Computional Intelligence Techniques Applications to Structural Dynamics, SpringerVerlag London Limited 2010 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 48 244. Sandesh, S. and Shankar, K.(2010) Application of a hybrid of particle swarm and genetic algorithm for structural damage detection, Inverse Problems in Science and Engineering, 18: 7, 997 — 1021 245. Shi Xiaohu, Li Yanwen, Li Haijun, Guan Renchu, Wang Liupu, Liang Yanchun, An integrated algorithm based on artificial bee colony and particle swarm optimization, Sixth International Conference on Natural Computation (ICNC), 2010 Volume: 5, Digital Object Identifier: 10.1109/ICNC.2010.5583169 , 2010, 2586 - 2590 246. Antonio Polimeni, Antonino Vitetta, Demand and routing models: an approach for simulating the urban goods movements, 12th WCTR, July 11-15, 2010 – Lisbon, Portugal 247. A. Zafari, S.M. Tashakori Hashemi & M. Yousefi Khoshbakht, A Hybrid Effective Genetic Algorithm for Solving the Vehicle Routing Problem, IJIE, 2010 248. Mohammad Hossein Fazel Zarandi, Soheil Davari, and Ahmad Hemmati, Fuzzy Clustering for Initialization of Simulated Annealing, Algorithm to Solve a Capacitated Vehicle Routing Problem, Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, Dhaka, Bangladesh, January 9 – 10, 2010 249. Ferani Eva Zulvia, A Hybrid Particle Swarm Optimization with Genetic Algorithm for Solving Capacitated Vehicle Routing Problem with Fuzzy Demand – A Case Study on Garbage Collection System, MSc Thesis, 2010. 250. Frederico Manuel Marques Gonçalves, Optimização de um Sistema de Distribuição Capilar, PhD Thesis, Instituto Superior Technico, Universidade Technica de Lisboa, November 2010. 251. Zhang, W-B., Zhu, G-Y., Comparison and application of four versions of Particle Swarm Optimization algorithms in the sequence optimization, Expert Systems with Applications (2011), 38, 7, 8858-8864. 252. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in Supply Chain Management: A Review of Selected Methods and Applications, in Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI: 10.4018/9781615206339.ch001 253. Kartika Akbaria, Market Segmentation of Taiwanese‘ Perception about Indonesia Tourism Using PSKO and Multidimensional Scaling, 2010, MSc Thesis, Taiwan 254. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle Routing Problem with Multiple Depots, Advanced Materials Research (Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204210.283, February 2011 255. Chen, S-M., Chien, C-Y., Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques, Expert Systems with Applications (2011), 38, 12, 14439-14450. 256. S.Masrom, Siti Z.Z. Abidin, P.N.Hashimah, S. A.S. Abd. Rahman, Low-level Teamwork Hybridization for P-Metaheuristics: A Review and Comparison, 2011, 3rd Conference on Data Mining and Optimization (DMO) 28-29 June 2011, Selangor, Malaysia, ΗΔΔΔ, 128-133 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 49 257. S.MASROM, SITI.Z.Z. ABIDIN, A.M. NASIR, A.S.ABD. RAHMAN, Hybrid Particle Swarm Optimization for Vehicle Routing Problem with Time Windows, Recent Researches in Computational Techniques, Non-Linear Systems and Control, ISBN: 978-1-61804-011-4, 142-147 258. Yang, S., Lee, J., Multi-basin Particle Swarm Intelligence Method for Optimal Calibration of Parametric Lévy Models, Expert Systems with Applications (2012), 39, 1, 482-493. 259. Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao, Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network, Journal of Computers, Vol 6, No 8 (2011), 15461553, Aug 2011 doi:10.4304/jcp.6.8.1546-1553 260. Tapabrata Ray and Ruhul Sarker, Memetic Algorithms in Constrained Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms, Studies in Computational Intelligence 379, pp. 135–151, Springer-Verlag Berlin Heidelberg 2012 261. F. Neri, C. Cotta, Memetic algorithms and memetic computing optimization: A literature review, Swarm and Evolutionary Computation (2012), 2, 1-14. 262. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer 263. Kuo, R.J., Akbaria, K., Subroto, B., Application of Particle Swarm Optimization and Perceptual Map to Tourist Market Segmentation, Expert Systems with Applications (2012), 39, 10, 8726-8735. 264. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization Strategy for T-way Software Testing, Journal of Artificial Intelligence, 2012, ISSN 1994-5450, DOI: 10.3923/jai.2012 265. Yan, L., Chen, Y., Zhou, Y., An improved micro-genetic algorithm, Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni, Volume 51, Issue 1, January 2012, Pages 50-54 266. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency supplies and minimize save points based on grey correlation analysis, Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56, 2012 267. Yang, K., Liu, Y., Yang, G., An improved hybrid particle swarm optimization algorithm for fuzzy p-hub center problem, Computers & Industrial Engineering (2012), doi: http://dx.doi.org/10.1016/j.cie.2012.09.006 268. Partha Guchhait, Manas Kumar Maiti, Manoranjan Maiti, Two storage inventory model of a deteriorating item with variable demand under partial credit period, Applied Soft Computing Journal (2013), 13, 428-448 269. R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand – A case study on garbage collection system, Applied Mathematics and Computation (2012), 219 (5), 2574-2588 270. Yan, L., Chen, Y. , Heterogeneous strategy and its application in an improved micro-genetic algorithm, Advanced Materials Research 542-543 , pp. 14671470, 2012 271. Martinez-Soto, R., Castillo, O., Aguilar, L.T., Baruch, I.S., Bio-inspired optimization of fuzzy logic controllers for autonomous mobile robots 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 272. 273. 274. 275. 276. 277. 278. 279. 280. 281. 282. 283. 284. 50 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012 , art. no. 6291053 Pichpibul, T., Kawtummachai, R., An improved Clarke and Wright savings algorithm for the capacitated vehicle routing problem, ScienceAsia 38 (3) , pp. 307-318, 2012 Gulcin Dinc Yalcin and Nihal Erginel, A Heuristic Based on Integer Programming for the Vehicle Routing Problem with Backhauls, Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 – 6, 2012 Goksal, F. P., Karaoglan, I, Altiparmak, F.. A hybrid discrete particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery. Computers & Industrial Engineering (2013), 65, 39-53 Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21. Huaqin Jiang, Zhengbing Yan, Xinggao Liu, Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm, Neurocomputing, 119, 469-477, 2013 P.V. Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, K. Vivekanandan, R. Subramanian, A New Population Seeding Technique for PermutationCoded Genetic Algorithm, Journal of Computational Science (2013), http://dx.doi.org/10.1016/j.jocs.2013.05.009 A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.), International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings, DOI: 10.1007/978-3642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112 Fadzil Ahmad & Nor Ashidi Mat Isa & Zakaria Hussain & Muhammad Khusairi Osman, Intelligent Medical Disease Diagnosis Using Improved Hybrid Genetic Algorithm - Multilayer Perceptron Network, Journal of Medical Systems (2013) 37:9934 DOI 10.1007/s10916-013-9934-7 Ricardo Martinez-Soto, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez, A hybrid optimization method with PSO and GA to automatically design Type-1 and Type-2 fuzzy logic controllers, International Journal of Machine Learning & Cybernetics DOI 10.1007/s13042-013-0170-8 Tai-Hsi Wu, Jinn-Yi Yeh, Yueh-Min Lee, A Particle Swarm Optimization Approach for Nurse Rostering Problem, Business and Information 2013 (Bali, July 7-9) Fang, Z., Tu, W., Li, Q., Shaw, S.-L., Chen, S., Chen, B.Y. , A Voronoi neighborhood-based search heuristic for distance/capacity constrained very large vehicle routing problems, International Journal of Geographical Information Science 27 (4) , pp. 741-764 Fatemeh Forouzanfar and Reza Tavakkoli-Moghaddam, Using a genetic algorithm to optimize the total cost for a location-routing-inventory problem in a supply chain with risk pooling, Journal of Applied Operational Research (2012) 4(1), 2–13 © 2012 Tadbir Operational Research Group Ltd. P. Victer Paul, R. Baskaran, V.S.K. Venkatachalapathy and P. Dhavachelvan, Effective VE Population Initialization Technique for Permutation-Coded Genetic Algorithm, International Journal of Computer Science and Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 285. 286. 287. 288. 289. 290. 291. 292. 293. 294. 295. 296. 51 Electronics Engineering (IJCSEE) Volume 1, Issue 3 (2013) ISSN 2320401X; EISSN 2320-4028 Vimal Savsani, HBBABC: A Hybrid Optimization Algorithm Combining Biogeography Based Optimization (BBO) and Artificial Bee Colony (ABC) Optimization For Obtaining Global Solution Of Discrete Design Problems, International Journal Of Computational Engineering Research (ijceronline.com) Vol. 2 Issue. 7, 85-97. Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle Routing Problem by using an Effective Reactive Bone Route Algorithm, Transportation Research Journal 1 (2012) 51-67 Voratas Kachitvichyanukul, Comparison of Three Evolutionary Algorithms: GA, PSO, and DE, Industrial Engineering & Management Systems Vol 11, No 3, September 2012, pp.215-223 http://dx.doi.org/10.7232/iems.2012.11.3.215 ISSN 1598-7248│EISSN 22346473│ Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de Montreal & Universite de Technologie de Troyes, These presentee en vue de l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013 Masrom, S. , Abidin, S.Z.Z. , Omar, N., A taxonomy of low-level hybridization in metaheuristics algorithms, 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI), 18-20 Oct. 2012, 441 – 446, Nanjing S.MASROM, A.M. NASIR, SITI.Z.Z.ABIDIN, A.S.A. RAHMAN, Software Framework for Vehicle Routing Problem with Hybrid Metaheuristic Algorithms. Recent Researches in Mathematical Methods in Electrical Engineering and Computer Science ISBN: 978-1-61804-051-0, 55-61 Paul, P.V. , Dhavachelvan, P. , Baskaran, R., A novel population initialization technique for Genetic Algorithm, 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT), 20-21 March 2013, 1235 – 1238, Nagercoil, Digital Object Identifier : 10.1109/ICCPCT.2013.6528933 P. Victer Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, Κ.Vivekanandan, R. Subramanian and V.S.K.Venkatachalapathy, Performance Analyses on Population Seeding Techniques for Genetic Algorithms International Journal of Engineering and Technology (IJET), Vol 5 No 3 Jun-Jul 2013, ISSN : 0975-4024, 2993-3000. GD YALCIN, N ERGINEL, A HEURISTIC BASED ON MULTI OBJECTIVE LINEAR PROGRAMMING UNDER FUZZINESS FOR THE VEHICLE ROUTING PROBLEM, Uncertainty Modeling in Knowlege Engineering and Decision Making, Cengiz Kahraman, Faik Tunc Bozbura, Etienne E. Kerre, Istanbul, Turkey, 26-29 August 2012, 2012 Zhong, S., Dong, Y.-F., Sarosh, A., Artificial bee colony algorithm for parametric optimization of spacecraft attitude tracking controller, Advances in Intelligent Systems and Computing 215 , pp. 501-510, 2014 Liu, X., Optimization of min-max vehicle routing problem based on genetic algorithm, Proceedings of SPIE - The International Society for Optical Engineering 8920 , art. no. 89200B Peker, M., Şen, B., Kumru, P.Y., An efficient solving of the traveling salesman problem: The ant colony system having parameters optimized by the Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 297. 298. 299. 300. 301. 302. 303. 304. 305. 306. 307. 308. 309. 310. 52 Taguchi method, Turkish Journal of Electrical Engineering and Computer Sciences 21 (SUPPL. 1) , pp. 2015-2036, 2013 Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyperheuristic for combinatorial optimization problems, IEEE Transactions on Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861 Chen, Y.Q., Peng, N.X., Study on Chaotic Particle Swarm Optimization Algorithm in solution of logistics scheduling problem, Advanced Materials Research 798 , pp. 720-727, 2013 Chen, Y.Q., Yang, W.J., Research on parallel genetic algorithms related logistics transportation scheduling problem, Applied Mechanics and Materials 411-414 , pp. 2704-2709 , 2013 Chen, Y.Q., Yang, W.J., Research on single distribution center logistics transportation scheduling problem based on static road capacity constraints, Advanced Materials Research 798 , pp. 954-962, 2013 Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp. 1321-1340, 2013 Gopalakrishnan, K., Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review (Chapter B), Metaheuristic Applications in Structures and Infrastructures, 2013 Feng, X., Ma, M., Yu, H., Lake-energy optimization algorithm for travelling salesman problem, Jisuanji Yanjiu yu Fazhan/Computer Research and Development 50 (9) , pp. 2015-2027, 2013 Chainate, W., Pongcharoen, P., Thapatsuwan, P., Clonal selection of artificial immune system for solving the capacitated vehicle routing problem, Journal of Next Generation Information Technology 4 (3) , pp. 167-179, 2013 Reza Tavakkoli-Moghaddam, Fateme Forouzanfar and Sadoullah Ebrahimnejad, Incorporating location, routing, and inventory decisions in a biobjective supply chain design problem with risk-pooling, Journal of Industrial Engineering International 2013, 9:19. Gao guibing, Zhang hongbo, Zhang daobing, The Optimization of Materials Distribution Routing Plan in the Flow Manufacturing System Based on Multiobjective Evolutionary Algorithm, 2012 2nd International Conference on Computer Science and Network Technology, 1493-1496 Partha Guchhait, Manas Kumar Maiti, Manoranjan Maiti, Inventory model of a deteriorating item with price and credit linked fuzzy demand : A fuzzy differential equation approach, OPSEARCH, 51(3), 321-353, DOI 10.1007/s12597-013-0153-2 T. Geetha, A diverse versions and variations of Particle Swarm Optimization (PSO) algorithm for real world complex optimization problems, International Journal of Emerging Technology and Advanced Engineering, 3 (8), 2013, 454-459 Antonio Polimeni & Antonino Vitetta, Vehicle routing in urban areas: an optimal approach with cost function calibration, Transportmetrica B: Transport Dynamics, DOI: 10.1080/23249935.2013.826747 T. Geetha, An Optimistic Web Service Selection using Multi Colony – Particle Swarm Optimization (MC – PSO) algorithm, Journal of Emerging Technology and Advanced Engineering, 3 (8), 2013, 489-498 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 53 311. Ricardo Martλnez-Soto, Oscar Castillo, Luis T. Aguilar, Type-1 and Type-2 fuzzy logic controller design using a Hybrid PSO–GA optimization method, Information Sciences 285 (2014) 35–49 312. Na Fang, Jianzhong Zhou, Rui Zhang, Yi Liu, Yongchuan Zhang, A hybrid of real coded genetic algorithm and artificial fish swarm algorithm for short-term optimal hydrothermal scheduling, Electrical Power and Energy Systems 62 (2014) 617–629 313. Le Hoang Son, Optimizing Municipal Solid Waste collection using Chaotic Particle Swarm Optimization in GIS based environments: A case study at Danang city, Vietnam, Expert Systems with Applications 41 (2014) 8062– 8074 314. Junliang He, Youfang Huang, Daofang Chang, Simulation-based heuristic method for container supply chain network optimization, Adv. Eng. Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.08.001 315. Junliang He, Youfang Huang, Wei Yan, Yard crane scheduling in a container terminal for the trade-off between efficiency and energy consumption, Adv. Eng. Informat. (2014), http://dx.doi.org/10.1016/j.aei.2014.09.003 316. P. Victer Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, K. Vivekanandan, R. Subramanian, A new population seeding technique for permutation-coded GeneticAlgorithm: Service transfer approach. Journal of Computational Science 5 (2014) 277–297 317. Lin, C.-J., Peng, C.-C., An efficient evolutionary neural fuzzy controller for the inverted pendulum system 2014 Cybernetics and Systems 45 (4), pp. 324-348 318. Ahmed, Z.H. Improved genetic algorithms for the travelling salesman problem International Journal of Process Management and Benchmarking, 4 (1), pp. 109-124, 2014 319. Rao, W.-Z., Jin, C., Wang, X.-H., Liu, F. A model of low-carbon vehicle routing problem considering road gradient and its solving strategy Source of the Document Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 34 (8), pp. 2092-2105, 2014 320. Yousefikhoshbakht, M., Didehvar, F., Rahmati, F. An efficient solution for the VRP by using a hybrid elite ant system, International Journal of Computers, Communications and Control 9 (3), pp. 340-347, 2014 321. Savsani, P., Jhala, R.L., Savsani, V. Effect of hybridizing BiogeographyBased Optimization (BBO) technique with Artificial Immune Algorithm (AIA) and Ant Colony Optimization (ACO) Applied Soft Computing Journal 21, pp. 542-553, 2014 322. Jin, M., Lu, H.-X., A multi-subgroup hierarchical hybrid of genetic algorithm and particle swarm optimization, Kongzhi Lilun Yu Yingyong/Control Theory and Applications 30 (10), pp. 1231-1238, 2013 323. Chen, Y., Hu, X., Ye, G., Research on related vehicle routing problem for single distribution centre based on dynamic constraint, Proceedings - 9th International Conference on Computational Intelligence and Security, CIS 2013 6746359, pp. 76-79, 2013 324. Chen, Y., Guo, J., Hu, X., Research on related vehicle routing problem for multiple depots basing on dynamic constraint, Proceedings - 9th International Conference on Computational Intelligence and Security, CIS 2013 6746358, pp. 71-75, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 54 325. Abdelhalim, A.A., Eltawil, A.B., Recent heuristics and algorithms for solving the vehicle routing problems, 2013 International Asia Conference on Industrial Engineering and Management Innovation: Core Areas of Industrial Engineering, IEMI 2012 - Proceedings pp. 1103-1112 The paper ―Honey Bees Mating Optimization Algorithm for Large Scale Vehicle Routing Problems, Natural Computing, 9, 5-27, 2010‖ is cited by: 326. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4, 2009 327. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel; Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), DOI: 10.1109/ISABEL.2010.5702845, 2010 , 1 - 7 328. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee Optimisation – An Overview and a New Bee Inspired Optimisation Scheme, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327. 329. Ivona BRAJEVIC, Artificial bee colony algorithm for the capacitated vehicle routing problem, Proceedings of the European Computing Conference, ISBN: 978-960-474-297-4, 239-244, 2011. 330. Szeto, W.Y., Wu, Y., Ho, S.C., An Artificial Bee Colony Algorithm for the Capacitated Vehicle Routing Problem, European Journal of Operational Research (2011), 215, 1, 126-135. 331. S.D. Li, 1X. Liu, C. Cai, M.Y. Ding, Path Planning of UAVs Using Subsection Queen-bee-assisted Genetic Algorithm International Journal of Digital Content Technology and its Applications. Volume 5, Number 6, June 2011, doi:10.4156/jdcta.vol5.issue6.14, 113-121 332. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik und Informatik Institut für Informatik, MSc Thesis, September 2010 333. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2012), 39, 9, 2248-2257. 334. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a Heuristic for the Vehicle Routing and Loading Problem, Computers & Operations Research, 40(3), 873-885, (2013) 335. Pichpibul, T., Kawtummachai, R., An improved Clarke and Wright savings algorithm for the capacitated vehicle routing problem, ScienceAsia 38 (3) , pp. 307-318, 2012 336. Yahyaoui Khadidja , Debbat Fatima, Khelfi Mohamed Fayçal, Hybrid Algorithm Based on HBMO and GRASP For Real-time Task Scheduling Problem Resolution, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012, ISSN (Online): 1694-0814, 197-203 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 55 337. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid approach for the vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2013), 40(6), 1579-1589 338. Zhang Chao-qun, Zheng Jian-guo, Wang Xiang, Overview of research on bee colony algorithms, Application Research of Computers, 28, 9, Sep. 2011 339. Li, S., Liu, S., Ai, Q., Li, J., Fast 3D path pre-planning method for UAVs, Applied Mechanics and Materials 278-280 , pp. 1676-1681, 2013 340. S.C. Pandey, G.C. Nandi, TSD based framework for mining the induction rules, Journal of Computational Science (2014), 5, 184-195. 341. B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms , Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-034041_4, Springer International Publishing Switzerland 2014, 45-80 342. Shuzhu Zhang, C.K.M. Lee, H.K. Chan, K.L. Choy, Zhang Wu, Swarm intelligence applied in green logistics: A literature review, Engineering Applications of Artificial Intelligence 37 (2015) 154–169 343. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0 344. Helal, N., Harmanani, H., Effective solutions for the split delivery vehicle routing problem with time windows, 29th International Conference on Computers and Their Applications, CATA 2014 pp. 315-320 The paper ―A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem, Computers and Operations Research, 37, 432-442, 2010‖ is cited by: 345. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Technical Report IridiaTr2009-017r001, 2009 346. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Computers and Operations Research, 2010, 37, 11, 1939-1951. 347. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics and Computation (2010), 216, 1, 125-137. 348. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic Combinatorial Optimization: Case Studies in Stochastic Routing Problems, Ph.D. Thesis, University of Bruxelles, 2010. 349. ZHENG Hong-ying, HOU Mei-ju, WANG Yu, Fast Method for Feature Selection in Intrusion Detection, Computer Engineering, Vol 36, No 6, 2010, 262-264 350. Babak Farhang Moghadama and Seyed Mohammad Seyedhosseini, A Particle Swarm Approach to Solve Vehicle Routing Problem with Uncertain Demand: A Drug Distribution Case Study, International Journal of Industrial Engineering Computations, 1, (2010), 55-66. 351. Mu Aiqin and Zhang Ruiping, Solving Traveling Salesman Problem Based on Improved Particle Swarm Optimization Algorithm, available on line www.paper.edu.cn/index.php/default/downPaper/201005-589.pdf Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 56 352. Bestoun S. Ahmed, Kamal Z. Zamli, "PSTG: A T-Way Strategy Adopting Particle Swarm Optimization," ams, pp.1-5, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010 353. Bestoun S. Ahmed, Kamal Z. Zamli, T-Way Test Data Generation Strategy Based on Particle Swarm Optimization , Second International Conference on Computer Research and Development (ICCRD), 2010 , pp 93-97. 354. Jian Luo, Chang-qing Wu, Wen-cai Hong, Yong Cheng, San-yao Xu, Research on Scheduling of the RGV System Based on QPSO, 8th IEEE International Conference on Control and Automation, Xiamen, China, June 9-11, 2010 355. Zhang Yu Bin, Lin Li Zhong, Zhang Ya Ming, Study on network flow prediction model based on particle swarm optimization algorithm and RBF neural network, 3rd IEEE International Conference on Computer Science and Information Technology, Vol. 2, pp. 302-306 356. Yu Zhang, Xiaopeng Xie, Taobo Cheng, Application of PSO and SVM in image classification, 3rd IEEE International Conference on Computer Science and Information Technology, Vol. 6, pp. 629-631. 357. Yang, Yu, Dai, Hongwei, Li, Hui; , "Adaptive Genetic Algorithm with Application for Solving Traveling Salesman Problems," 2010 International Conference on Internet Technology and Applications, pp. 1-4, 20-22 Aug. 2010 doi: 10.1109/ITAPP.2010.5566615 358. Cheng gang, A PSO-GA Method to Solve a Partial Shipment and Scheduling Problem, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010) 359. Liu, J., Wu, C., Wang, X., Yu, D., Automotive parts' loading optimization based on improved quadratic particle swarm optimization, International Journal of Humanoid Robotics, Volume 7, Issue 4, December 2010, Pages 699-712 360. X. Geng, Z. Chen, W. Yang, D. Shi, K. Zhao, Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search, Applied Soft Computing Journal (2011), 11, 4, 3680-3689. 361. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in Supply Chain Management: A Review of Selected Methods and Applications, in Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI: 10.4018/9781615206339.ch001 362. Evi Tjandradjaja, An Approach using Discrete Particle Swarm Optimization and Bottleneck Heuristic to Solve Hybrid Flow Shop Scheduling Problem, 2010, MSc Thesis, China 363. Walter J. Gutjahr, Recent trends in metaheuristics for stochastic combinatorial optimization, Central European Journal of Computer Science, 1(1) , 2011, 58-66, DOI: 10.2478/s13537-011-0003-3 364. Chaogai Xue, Lili Dong, Guohua Li, An Improved Immune Genetic Algorithm for the Optimization of Enterprise Information System based on Time Property, JOURNAL OF SOFTWARE, VOL. 6, NO. 3, MARCH 2011, 436-443 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 57 365. A.A. Taleizadeh, F. Barzinpour, H.-M. Wee, Meta-heuristic algorithms for solving a fuzzy single period problem, Mathematical and Computer Modelling (2011), 54, 1273-1285 366. M. Chih, L.-L. Yeh, F.-C. Li, Particle Swarm Optimization for the Economic and Economic Statistical Designs of the x Control Chart, Applied Soft Computing Journal (2011), 11, 8, 5053-5067 367. Wei Huang, Xingnan Zhang, Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi-Swarm Cooperative Particle Swarm Optimization, Journal of Water Resource and Protection, 2011, 3, 415-420 doi:10.4236/jwarp.2011.36051 Published Online June 2011 (http://www.scirp.org/journal/jwarp) 368. M. Yaghini, M. Momeni, M. Sarmadi, Finding the Shortest Hamiltonian Path for Iranian Cities Using Hybrid Simulated Annealing and Ant Colony Optimization Algorithms, International Journal of Industrial Engineering & Production Research, March 2011, Volume 22 Number 1 pp.. 31--42 369. Jiao Zhao, Lixin Tang, "The Simultaneous Quay Crane and Truck Scheduling Problem in Container Terminals," Intelligent Computation Technology and Automation, International Conference on, vol. 1, pp. 279-282, 2011 Fourth International Conference on Intelligent Computation Technology and Automation, 2011. 370. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm Optimization, Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K. 371. RAO Wei-zhen, JIN Chun, HUANG Ying-yi, Hybrid algorithm of the nearest neighbor and insertion for the traveling salesman problem, Systems Engineering — Theory & Practice, Vol.31, No.8, Aug., 2011, 1419-1428 372. Bestoun S. Ahmed, Kamal Z. Zamli, Chee Peng Lim, Application of Particle Swarm Optimization to Uniform and Variable Strength Covering Array Construction, Applied Soft Computing Journal (2012), 12, 4, 1330-1347. 373. R. Venkata Rao and Vimal J. Savsani, Applications of Modified Optimization Algorithms to the Unconstrained and Constrained Problems, Mechanical Design Optimization Using Advanced Optimization Techniques, Springer Series in Advanced Manufacturing, 2012, 69-121, DOI: 10.1007/978-1-44712748-2_4 374. R. Venkata Rao and Vimal J. Savsani, Advanced Optimization Techniques, Mechanical Design Optimization Using Advanced Optimization Techniques, Springer Series in Advanced Manufacturing, 2012, 5-34, DOI: 10.1007/978-1-4471-2748-2_2 375. C.-J. Liao, E. Tjandradjaja, T.-P. Chung, An approach using particle swarm optimization and bottleneck heuristic to solve hybrid flow shop scheduling problem, Applied Soft Computing Journal (2012), 12, 6, 1755-1764. 376. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization Strategy for T-way Software Testing, Journal of Artificial Intelligence, 2012, ISSN 1994-5450, DOI: 10.3923/jai.2012 377. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization Simulated Annealing Algorithm for the Probabilistic Travelling Salesman Problem, SIC: vol. 21, issue 1/2012, pp. 49-58 378. Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang, A Hybrid Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 379. 380. 381. 382. 383. 384. 385. 386. 387. 388. 389. 390. 391. 58 the Travelling Salesman Problem, International Journal of Operations Research Vol. 9, No. 1, 53−65 (2012) Ahmed, B.S., Zamli, K.Z., Lim, C.P., Constructing a t-way interaction test suite using the Particle Swarm Optimization approach, International Journal of Innovative Computing, Information and Control 8 (1 A) , pp. 431-451 Hongqi Li, Yue Lu, Jun Zhang, and Tianyi Wang, Solving the Tractor and Semi-Trailer Routing Problem Based on a Heuristic Approach, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2012, Article ID 182584, 12 pages doi:10.1155/2012/182584 Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013 Ayca Altay and Gulgun Kayakutlu, Evolutions in Particle Swarm Optimization: Benchmark on Continuous Cases, C. Kahraman (ed.), Computational Intelligence Systems in Industrial Engineering, Atlantis Computational Intelligence Systems 6, DOI: 10.2991/978-94-91216-77-0_26, Atlantis Press 2012, 557-577. Wu Deng, Rong Chen, Bing He, Yaqing Liu, Lifeng Yin, Jinghuan Guo, A novel two-stage hybrid swarm intelligence optimization algorithm and application, Soft Computing, 16(10), 1707-1722, Springer, 2012 R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand – A case study on garbage collection system, Applied Mathematics and Computation (2012), 219(5), 2574-2588. Latha Shankar, B., S. Basavarajappa, Jason C.H. Chen, Rajeshwar S. Kadadevaramath Location and allocation decisions for multi-echelon supply chain network – A multi-objective evolutionary approach. Expert Systems with Applications (2013), 40(2), 551-562. Α. Azadeh, M. Hosseinabadi Farahani, H. Eivazy, S. Nazari-Shirkouhi, G. Asadipour, A hybrid meta-heuristic algorithm for optimization of crew scheduling, Applied Soft Computing Journal (2013), 13(1), 158-164. Jiang, H., Liu, T., Chen, J. , An exact algorithm for TSP based on time-delay message broadcasting mechanism in cloud computing environment, Advances in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012 Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu, Solve Traveling Salesman Problem Using Particle Swarm Optimization Algorithm, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814, 264-271 A. A. Abdelhalim and A. B. Eltawil, Recent Heuristics and Algorithms for Solving the Vehicle Routing Problems, Chapter 114, E. Qi et al. (eds.), International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings, DOI: 10.1007/978-3642-38445-5_114, _ Springer-Verlag Berlin Heidelberg 2013, 1103-1112 Reuy-Maw Chen and Chuin-Mu Wang, Controlling Search Using an S Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems, M. Ali et al. (Eds.): IEA/AIE 2013, LNAI 7906, pp. 545–555, 2013. © Springer-Verlag Berlin Heidelberg 2013 Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic traveling salesman problem with time windows, EURO Journal of Transportation and Logistics (2013) 2:89–107 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 59 392. Min Huang, Xingwei Wang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination of Risk Management for Supply Chains Organized as Virtual Enterprises, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 931690, 11 pages http://dx.doi.org/10.1155/2013/931690 393. Ruey-Maw Chen and Hsiao-Fang Shih, Solving University Course Timetabling Problems Using Constriction Particle Swarm Optimization with Local Search, Algorithms 2013, 6, 227-244; doi:10.3390/a6020227 394. Jorge Ivan Pérez Rave, Gloria Patricia Jaramillo Álvarez, Relevant literary space on travelling salesman problem (TSP): contents, classification, methods and fields of inspiration, Produção, 23(4), 866-876 395. Baltas, G., Tsafarakis, S., Saridakis, C., Matsatsinis, N. , Biologically Inspired Approaches to Strategic Service Design: Optimal Service Diversification Through Evolutionary and Swarm Intelligence Models, Journal of Service Research 16 (2) , pp. 186-201 396. Rao, W.-Z., Jin, C., Lu, L.-T. , An improved greedy algorithm with information of edges' location for solving the Euclidean traveling salesman problem, Jisuanji Xuebao/Chinese Journal of Computers 36 (4) , pp. 836850 397. Xiaohua Wang, Aiqin Mu, Shisong Zhu, ISPO: A New Way to Solve Traveling Salesman Problem, Intelligent Control and Automation, 2013, 4, 122-125 doi:10.4236/ica.2013.42017 Published Online May 2013 (http://www.scirp.org/journal/ica) 398. Masoud Yaghini, Mohsen Momeni and Mohammadreza Sarmadi, DIMMAImplemented Metaheuristics for Finding Shortest Hamiltonian Path Between Iranian Cities Using Sequential DOE Approach for Parameters Tuning, International Journal of Applied Metaheuristic Computing (IJAMC), Volume 2, Issue 2. Copyright © 2011. 19 pages. 399. Masoud Yaghini, Mohsen Momeni, Mohammadreza Sarmadi, DOE–based parameter tuning for local branching algorithm, International Journal of Metaheuristics, Volume 2, Number 1/2012, 1-14, DOI: 10.1504/IJMHEUR.2012.048211 400. WU Xin-jie, HUANG Guo-xing, Application of particle filter algorithm in traveling salesman problem. Journal of Computer Applications 2012 32 (08): 2219-2222 ISSN: 1001-9081: CN: 51-1307/TP 401. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics, 1 and Evolutionary Computation IV, Advances in Intelligent Systems and Computing 227, DOI: 10.1007/978-3-319-01128-8_1, c_ Springer International Publishing Switzerland 2013 402. Guo, H.L., Research on rule extraction technology based on genetic algorithm in intrusion detection, Advanced Materials Research 760-762 , pp. 857-861, 2013 403. Pang, S., Li, T., Dai, F., Yu, M., Particle swarm optimization algorithm for multisalesman problem with time and capacity constraints, Applied Mathematics and Information Sciences 7 (6) , pp. 2439-2444, 2013 404. Guo, H.L., Research on the model of database intrusion protection system based on E-commerce platform, Applied Mechanics and Materials 336-338 , pp. 2559-2562, 2013 405. Min Huang, XingweiWang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination of Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 406. 407. 408. 409. 410. 411. 412. 413. 414. 415. 416. 417. 60 Risk Management for Supply Chains Organized as Virtual Enterprises, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 931690, 11 pages http://dx.doi.org/10.1155/2013/931690 Srinjoy Ganguly and Swagatam Das, A Novel Ant Colony Optimization Algorithm for the Vehicle Routing Problem, B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 401–412, 2013. © Springer International Publishing Switzerland 2013 Qingjian Ni, Cen Cao, and Huimin Du, A New Particle Swarm Optimization with Population Restructuring Based Multiple Population Strategy, B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 688–698, 2013. Springer International Publishing Switzerland 2013 Lixin Tang, Jiao Zhao, Jiyin Liu, Modeling and solution of the joint quay crane and truck scheduling problem, European Journal of Operational Research, 236, (2014), 978-990 Hsuan-Ming Feng, Kuo-Lung Liao, Hybrid evolutionary fuzzy learning scheme in the applications of traveling salesman problems, Information Sciences 270 (2014) 204–225 Mingchang Chih, Self-adaptive check and repair operator-based particle swarmoptimization for the multidimensional knapsack problem, Appl. Soft Comput. J. (2014), http://dx.doi.org/10.1016/j.asoc.2014.10.030 Ruey-Maw Chen, You-An Chen, Heuristics Based Particle Swarm Optimization for Solving Vehicle Routing Problems, 2014 International Symposium on Computer, Consumer and Control Lingyun Zhou, Lixin Ding and Xiaoli Qiang, A Multi-population Discrete Firefly Algorithm to Solve TSP, L. Pan et al. (Eds.): BIC-TA 2014, CCIS 472, pp. 648– 653, 2014. Springer-Verlag Berlin Heidelberg 2014 Lin, C.-J., Peng, C.-C., An efficient evolutionary neural fuzzy controller for the inverted pendulum system, Cybernetics and Systems, 45 (4), pp. 324-348, 2014 Ni, Q.-J., Deng, J.-M., Xing, H.-C. Dynamic probabilistic particle swarm optimization based on heterogeneous multiple population strategy, Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 27 (2), pp. 146-152 Yu, Y.-Y., Chen, Y., Li, T.-Y., Improved genetic algorithm for solving TSP, Kongzhi yu Juece/Control and Decision 29 (8), pp. 1483-1488, 2014 Chen, R.M., Chen, Y.A., Heuristics based particle swarm optimization for solving vehicle routing problems, Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014 6845892, pp. 360-363 Guo, L.-Z., Wang, Y.-J., Zhao, S.-G., Shen, S.-G., Jiang, C.-Y., Particle swarm optimization embedded in variable neighborhood search for task scheduling in cloud computing, Journal of Donghua University (English Edition) 30 (2), pp. 145-152, 2013 The paper ―Ant Colony and Particle Swarm Optimization for Financial Classification Problems, Expert Systems with Applications, 36, 7, 10604-10611, 2009‖ is cited by: 418. Zhihua Cui, Zhongzhi Shi, Boid Particle Swarm Optimization, International Journal of Innovative Computing and Applications, 2009, Vol 2, No2, 7785. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 61 419. Zhihua Cui and Xingjuan Cai, Integral Particle Swarm Optimization with Dispersed Accelerator Information, Fundamenta Informaticae, 2009, 95(4): 427-447. 420. Xingjuan Cai, Ying Tan, Individual Predicted Integral-controlled Particle Swarm Optimization, International Journal of Innovative Computing and Applications, 2009, Vol 2 No 2 115-122. 421. Ali Hassan, Particle Swarm Optimization for routing and wavelength assingment in next generation WDM networks, Ph.D. Thesis, Queen Mary University of London, December 2009 422. Zhihua Cui, Xingjuan Cai, Ying Tan and Jianchao Zeng, ―Integral-controlled Particle Swarm Optimization‖, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Springer, 2011, 175-199. 423. Dragan Simić, Vladeta Gajić, and Svetlana Simić, An Approach of Bioinspired Hybrid Model for Financial Markets, M. Graña Romay et al. (Eds.): HAIS 2010, Part I, LNAI 6076, pp. 205–212, 2010. © Springer-Verlag Berlin Heidelberg 2010 424. Qingsong Song, Zuren Feng and Mingli Lei, Stable training method for echo state networks with output feedbacks, International Conference on Networking, Sensing and Control (ICNSC), 2010 , 159-164 425. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Credit scoring using an Ant mining approach, Human Systems Management, 29 (2010) 79–88 426. Noorhaniza Wahid, Yuk Ying Chung, Wei-Chang Yeh and Guang Liu, Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough Sets, BIOCOMP'10, The 2010 International Conference on Bioinformatics, and Computational Biology, 2010 427. Sumona Mukhopadhyay, Santo Banerjee Cooperating Swarms: A Paradigm for Collective Intelligence and its Application in Finance, International Journal of Computer Applications (0975 – 8887) Volume 6– No.10, September 2010, 31-41. 428. W. Chu, X. Gao, S. Sorooshian, Handling boundary constraints for particle swarm optimization in high-dimensional search space, Information Sciences (2011), 181, 20, 4569-4581. 429. Ognjen Radović, AGENT-BAZIRANI MODEL ELEKTRONSKOG FINANSIJSKOG TRŢIŠTA, Ph.D. Thesis, Subotica 2010, Godine. 430. Mohammad Dashti J, Kambiz Shojaee G., S.M.H. Seyedkashi, M. Behnam T., Novel Simulated Annealing Algorithm in order to Optimal Adjustment of Digital PID Controller, 11th Int. Conf. Control, Automation, Robotics and Vision Singapore, 7-10th December 2010 431. I-Wei Kao and Chi-Yang Tsia, Selective Regeneration Particle Swarm Optimization for Inventory Classification in Supply Chain Systems, 2010 Second World Congress on Nature and Biologically Inspired Computing Dec. 15-17,2010 in Kitakyushu, Fukuoka, Japan 432. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on Financial Report Analysis, MSc Thesis, National University of Tainan, January 2011 433. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired intelligence for credit scoring, International Journal of Financial Markets and Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 62 434. Ning Chen, Bernardete Ribeiro, Armando S. Vieira, Joγo Duarte, Joγo C. Neves, A genetic algorithm-based approach to cost-sensitive bankruptcy prediction, Expert Systems with Applications 38 (2011) 12939–12945 435. Chopade, Ramchandra P. , Agnihotri, E. , Singh, A. K. , Kumar, A. , Uppaluri, R. , Mishra, Subhash C. and Mahanta, P.(2011) 'Application of a Particle Swarm Algorithm for Parameter Retrieval in a Transient ConductionRadiation Problem', Numerical Heat Transfer, Part A: Applications, 59: 9, 672 — 692 436. Ho, T.K., Tsang, C.W., Ip, K.H., Kwan, K.S., Train Service Timetabling in Railway Open Markets by Particle Swarm Optimisation, Expert Systems with Applications (2012), 39, 1, 861-868. 437. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm Optimization, Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K. 438. Jung-Yuan Kung, Tzung-Nan Chuang and Chau Minh Ky, A Fuzzy MCDM Method to Select The Best Company Based on Financial Report Analysis, 2011 IEEE International Conference on Fuzzy Systems June 27-30, 2011, Taipei, Taiwan 439. Po-wen Chen, Combining SVM and PSO to explore the prediction models of Taiwan Stock Market, MSc Thesis, Graduate Institute of Information and Logistics Management, 2010, China 440. Hu Huang, Hong-BoXie, Jing-YiGuo, Hui-JuanChen, Ant colony optimization-based feature selection method for surface electromyography signals classification, Computers in Biology and Medicine (2012), 42, 1, 3038. 441. Castillo-Ortega, R., Marín, N., Sánchez, D, Linguistic local change comparison of time series. IEEE International Conference on Fuzzy Systems, art. no. 6007409, pp. 2909-2915, 2011 442. Janaki Meena, M., Chandran, K.R., Karthik, A., Vijay Samuel, A., An Enhanced ACO Algorithm to Select Features for Text Categorization and Its Parallelization, Expert Systems with Applications (2012), 39, 5, 5861-5871 443. Monica Widiasri, Army Justitia, Agus Zaina Arifin, Penerapan Particle Swarm Optimization untuk Penentuan Parameter Regularisasi pada Kernel Regularized Discriminant Analysis, The 13th Industrial Electronics Seminar 2011 (IES 2011), Electronic Engineering Polytechnic Institute of Surabaya (EEPIS), Indonesia, October 26, 2011, ISBN: 978-979-8689-14-7, 61-66 444. I-Wei Kao, Chi-Yang Tsai, Yi-Chen Wang, A Novel Approach for Inventory Classification in Two-Stage Supply Chain System, The 7th International Conference on Computing and Information Technology, IC2IT2011 445. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends using hybrid ant–colony–based data mining algorithms: an empirical validation on the Bombay Stock Exchange, International Journal of Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381 446. Martin, A. Aswathy. V., V. Prassana Venkatessan, Framing Qualitative Bankruptcy Prediction Rules Using Ant Colony Algorithm, International Journal of Computer Applications (0975 – 8887) Volume 41– No.21, March 2012 447. Song, Q., Effect of Leaky rate on the stability of autonomously echo state network, Information Technology Journal 11 (7) , pp. 775-781, 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 63 448. Bae, C., Yeh, W.-C., Wahid, N., Chung, Y.Y., Liu, Y., A new simplified swarm optimization (SSO) using exchange local search scheme, International Journal of Innovative Computing, Information and Control 8 (6) , pp. 4391-4406, 2012 449. Tsai, C.-Y., Kao, I.-W. , Particle swarm optimization with selective particle regeneration for data clustering, Expert Systems with Applications 38 (6) , pp. 6565-6576, 2011 450. K. Khalili-Damghani et al., A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection, Information Sciences (2013), 220 , pp. 442-462 451. Martin, A., Aswathy, V., Balaji, S., Lakshmi, T.M., Venkatesan, V.P. , An analysis on qualitative bankruptcy prediction using fuzzy ID3 and ant colony optimization algorithm, International Conference on Pattern Recognition, Informatics and Medical Engineering, PRIME 2012 , art. no. 6208382 , pp. 416-421 452. Hatamlou, A., Hatamlou, M. , PSOHS: An efficient two-stage approach for data clustering, Memetic Computing 5 (2) , pp. 155-161, 2013 453. Lazzús, J.A., Hybrid particle swarm-ant colony algorithm to describe the phase equilibrium of systems containing supercritical fluids with ionic liquids, Communications in Computational Physics 14 (1) , pp. 107-125, 2013 454. Juan A. Lazzús, Hybrid swarm optimization for vapor–liquid equilibrium modeling, Journal of Molecular Liquids 196 (2014) 167–177 455. Sina Tabakhi, Parham Moradi, Fardin Akhlaghian, An unsupervised feature selection algorithm based on ant colony optimization, Engineering Applications of Artificial Intelligence 32 (2014) 112–123 456. Veenu Mangat, Renu Vig, Novel associative classifier based on dynamic adaptive PSO: Application to determining candidates for thoracic surgery, Expert Systems with Applications 41 (2014) 8234–8244 457. Jovanović, M., Delibašić, B., Vukićević, M., Suknović, M., Martić, M., Evolutionary approach for automated component-based decision tree algorithm design, Intelligent Data Analysis, 18 (1), pp. 63-77, 2014 458. Maple, C., Prakash, E., Huang, W., Qureshi, A.N., Taxonomy of optimisation techniques and applications, International Journal of Computer Applications in Technology 49 (3-4), pp. 251-262, 2014 459. Huang, J., Wang, H., Wang, W., Xiong, Z., A computational study for feature selection on customer credit evaluation, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, 6722260, pp. 2973-2978 The paper ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification, Computers in Biology and Medicine, 39, 1, 69-78, 2009‖ is cited by: 460. Susan Hasty, Genetics and Genomics, Women‘s Health Weekly, 23 April 2009 461. Jie Lv, Jianzhong Su, Fang Wang, Yunfeng Qi, Hongbo Liu, Yan Zhang, Detecting Novel hypermethylated genes in Breast cancer benefiting from feature selection, Computers in Biology and Medicine 40, (2010), 159–167. 462. Malin Björnsdotter Åberg, MACHINE LEARNING FOR IDENTIFICATION OF BRAIN ACTIVITY PATTERNS WITH APPLICATIONS IN GENTLE Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 463. 464. 465. 466. 467. 468. 469. 470. 471. 472. 473. 64 TOUCH PROCESSING, Ph.D. Thesis, Department of Physiology Institute of Neuroscience and Physiology the Sahlgrenska Academy University of Gothenburg, 2009, ISBN:978-91-628-7854-2, Printed by Geson Hyltetryck, Göteborg R. STOEAN, C. STOEAN, M. LUPSOR, H. STEFANESCU, AND R. BADEA, Evolutionary Conditional Rules versus Support Vector Machines Weighted Formulas for Liver Fibrosis Degree Prediction, Annals of the University of Craiova, Mathematics and Computer Science Series Volume 37(1), 2010, Pages 43–54 ISSN: 1223-6934 Umberto Morbiducci, Giacomo Di Benedetto, Alexandra Kautzky-Willer, Marco A. Deriu, Giovanni Pacini, Andrea Tura, Identification of a model of non-esterified fatty acids dynamics through genetic algorithms: The case of women with a history of gestational diabetes, Computers in Biology and Medicine 41 (2011) 146–153 Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis, Computers in Biology and Medicine (2011), 41, 4, 238246. Gorunescu, F., Belciug, S., Gorunescu, M., Badea, R., Intelligent decisionmaking for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network, Expert Systems with Applications (2012), 39, 12824-12832 Lei, Y.-G., He, Z.-J., Advances in applications of hybrid intelligent fault diagnosis and prognosis technique, Zhendong yu Chongji/Journal of Vibration and Shock 30 (9) , pp. 129-135 Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR 2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin Heidelberg 2012 Yusof, R., Khairuddin, U., Khalid, M., A new mutation operation for faster convergence in genetic algorithm feature selection, International Journal of Innovative Computing, Information and Control 8 (10 B) , pp. 7363-7378 , 2012 Marina E. Plissiti and Christophoros Nikou, A Review of Automated Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling in Biomechanics, Lecture Notes in Computational Vision and Biomechanics 4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media Dordrecht 2013 Asli Genctav, Selim Aksoy, Sevgen Onder, Unsupervised segmentation and classification of cervical cell images, Pattern Recognition, 45(12), 41514168. Özçift, A., Gülten, A., Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases, Digital Signal Processing: A Review Journal 23 (1) , pp. 230-237, 2013 Luz Helena Camargo Casallas, Classification of squamous cell cervical cytology, Thesis submitted in partial fulfillment of the requirements for the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 65 474. Chen, Y. , Huang, P. , Lin, K. , Wang, L., Semi-Automatic Segmentation and Classification of Pap Smear Cells, IEEE Journal of Biomedical and Health Informatics, (Volume:18 , Issue: 1 ), 2014, 94-108 475. Kardan, A.A., Kavian, A., Esmaeili, A., Simultaneous feature selection and feature weighting with K Selection For KNN classification Using BBO Algorithm, IKT 2013 - 2013 5th Conference on Information and Knowledge Technology , art. no. 6620092 , pp. 349-354 476. Juan Valentín Lorenzo-Ginori, Wendelin Curbelo-Jardines, José Daniel López-Cabrera, and Sergio B. Huergo-Suárez, Cervical Cell Classification Using Features Related to Morphometry and Texture of Nuclei, J. RuizShulcloper and G. Sanniti di Baja (Eds.): CIARP 2013, Part II, LNCS 8259, pp. 222–229, 2013. © Springer-Verlag Berlin Heidelberg 2013 477. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Xinmin Fan, Tianfu Wang, Siping Chen, Automation-Assisted Cervical Cancer Screening in Manual Liquid-Based Cytology With Hematoxylin and Eosin Staining, Cytometry Part A, DOI: 10.1002/cyto.a22407, 2013 478. Kalliopi V. Dalakleidi, Konstantia Zarkogianni, Vassilios G. Karamanos, Anastasia C. Thanopoulou and Konstantina S. Nikita, A Hybrid Genetic Algorithm for the Selection of the Critical Features for Risk Prediction of Cardiovascular Complications in Type 2 Diabetes Patients, 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE), 10-13 Nov. 2013, Chania, Greece, IEEE DOI: 10.1109/BIBE.2013.6701620 479. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen,Tianfu Wang, Siping Chen, Segmentation of cytoplasm and nuclei of abnormal cells in cervicalcytology using global and local graph cuts, Computerized Medical Imaging and Graphics 38 (2014) 369–380 480. Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville, Scattering features for lung cancer detection in fibered confocalfluorescence microscopy images, Artificial Intelligence in Medicine 61 (2014) 105–118 481. Zhang, L., Kong, H., Chin, C.T., Wang, T., Chen, S., Cytoplasm segmentation on cervical cell images using graph cut-based approach, Bio-Medical Materials and Engineering, 24 (1), pp. 1125-1131, 2014 482. Guan, D., Yuan, W., Lee, Y.-K., Najeebullah, K., Rasel, M.K., A review of ensemble learning based feature selection, IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 31 (3), pp. 190-198, 2014 483. Chen, Y.-F., Huang, P.-C., Lin, K.-C., Chan, Y.-K., Chiang, J.Y., Semiautomatic segmentation and classification of pap smear cells, IEEE Journal of Biomedical and Health Informatics, 18 (1), 6482573, pp. 94-108, 2014 The paper ―An Evolutionary Approach to Construction of Outranking Models for Multicriteria Classification: The Case of the ELECTRE TRI Method, European Journal of Operational Research, 199, 496-505, 2009‖ is cited by: 484. Fasanghari, M.; Mohamedpour, M.; Mohamedpour, M.A., A Novel Method Combining ORESTE, Fuzzy Set Theory, and TOPSIS Method for Ranking the Information and Communication Technology Research Centers of Iran. Sixth International Conference on Information Technology: New Generations, 2009. ITNG '09. 27-29 April 2009, Page(s): 165-170, Digital Object Identifier 10.1109/ITNG.2009.202 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 66 485. Fernandez E, Lopez, E., Bernal, S., Coello Coello, C.A., Navarro, J. Evolutionary multiobjective optimization using an outranking-based dominance generalization. Computers and Operations Research (2010), 37, 2, 390-395. 486. Feras Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti, Differential Evolution for Learning the Classification Method PROAFTN, Knowledge-Based Systems, (2010), 23, 5, 418-426. 487. Chrysovalantis Gaganis, Fotios Pasiouras, Michael Doumpos and Constantin Zopounidis, Modelling banking sector stability with multicriteria approaches, Optimization Letters, (2010), 4, 4, 543-558. 488. Michael Doumpos and Constantin Zopounidis, Preference Disaggregation and Statistical Learning for Multicriteria Decision Support: A Review, European Journal of Operational Research, (2011), 209, 3, 203-214. 489. Chun-Che Huang, Tzu-Liang (Bill) Tseng, Horng-Fu Chuang, Ying-Ling Hsieh, Attribute-Oriented Rule Induction Using Rough Set Theory: A Case Study of Customer Relationship Management, International Conference on Business and Information, July 5-7, 2010, Rihga Royal Hotel Kokura, Kitakyushu, Japan 490. Michael Doumpos and Constantin Zopounidis, Disaggregation Analysis and Statistical Learning: An Integrated Framework for Multicriteria Decision Support, Handbook of Multicriteria Analysis, Vol 103, pp. 215-240, Springer, 2010. 491. Jose Rui Figueira, Salvatore Greco, Bernard Roy and Roman Słowiński, ELECTRE Methods: Main Features and Recent Developments, Handbook of Multicriteria Analysis, Vol 103, pp. 51-89, Springer, 2010. 492. E. Fernandez, E. Lopez, F. Lopez, C.A. Coello Coello, Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: The extended nosga method, Information Sciences (2011), 181, 1, 44-56. 493. Jaroslaw Arabas, Adam Szczepankiewicz, and Tomasz Wroniak, Experimental Comparison of Methods to Handle Boundary Constraints in Differential Evolution, R. Schaefer et al. (Eds.): PPSN XI, Part II, LNCS 6239, pp. 411–420, 2010, Springer-Verlag Berlin Heidelberg 2010 494. Hatami-Marbini A, Tavana M. An extension of the Electre I method for group decision-making under a fuzzy environment. Omega (2011), 39, 4, 373-386. 495. Chung, Wingyan and Tseng, Tzu-Liang (Bill), "Extracting Business Intelligence from Online Product Reviews: An Experiment of Automatic RuleInduction" (2010). ICIS 2010 Proceedings. Paper 233. 496. Fernandez, E., Navarro, J., A new approach to multi-criteria sorting based on fuzzy outranking relations: the theseus method, European Journal of Operational Research (2011), 213, 2, 405-413 497. Michael Doumpos and Constantin Zopounidis, A Multicriteria Outranking Modeling Approach for Credit Rating, Decision Sciences, A Journal of the Decision Science Institute, Volume 42, Number 3, 721-742, August 2011 498. Jun Zheng, Olivier Cailloux, and Vincent Mousseau, Constrained Multicriteria Sorting Method Applied to Portfolio Selection, R.I. Brafman, F. Roberts, and A. Tsoukias (Eds.): ADT 2011, LNAI 6992, pp. 331–343, 2011. SpringerVerlag Berlin Heidelberg 2011 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 67 499. M. MEDINECKIENE, E.K. ZAVADSKAS, Z. TURSKIS, Dwelling selection by applying fuzzy game theory, ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, Vol. XI, No. 3, 2011, 681-697 500. Eduardo Fernández González, Edy López Cervantes, Jorge Navarro Castillo e Inés Vega López, Application of Multi-Objective Metaheuristics to Public Portfolio Selection Through Multidimensional Modelling of Social Return, Gestión y Política Pública, VOLUMEN XX . NÚMERO 2 . II SEMESTRE DE 2011 . PP. 381-432 501. Dimitrios Andriosopoulos, Chrysovalantis Gaganis, Fotios Pasiouras and Constantin Zopounidis, An application of multicriteria decision aid models in the prediction of open market share repurchases, Omega, (2012), 40, 6, 882890 502. Gilberto Rivera, Claudia G. Gómez, Eduardo R. Fernández, Laura Cruz, Oscar Castillo, and Samantha S. Bastiani, Handling of Synergy into an Algorithm for Project Portfolio Selection O. Castillo et al. (Eds.): Recent Advances on Hybrid Intelligent Systems, SCI 451, pp. 417–430, © Springer-Verlag Berlin Heidelberg 2013 503. Rolland, A., Reference-based Preferences Aggregation Procedures in Multicriteria Decision Making, European Journal of Operational Research (2013), 225(3), 479-486 504. S. Silas, E.B. Rajsingh, K. Ezra, Efficient Service Selection Middleware using ELECTRE methodologies for cloud environments, Information Technology Journal, 2012, 11(7), 868-875 505. Chung, W., Tseng, T-L., Discovering Business Intelligence from Online Product Reviews: ARule-InductionFramework, Expert Systems with Applications (2012), 39(15), 11870-11879. 506. Sousa, R., Yevseyeva, I., Da Costa, J.F.P., Cardoso, J.S. , Multicriteria models for learning ordinal data: A literature review, Studies in Computational Intelligence 427 , pp. 109-138, 2013 507. Valentina Minnetti, Renato De Leone, The Estimation Of The Parameters Of The Electre Tri Method: A Proposal Of A New Two Step Procedure, 43rd Annual Conference of the Italian Operational Research Society Graph Algorithms and Optimization Vietri sul Mare (SA), September 4-7 2012 508. Olivier SOBRIE and Marc PIRLOT, Implementation of ELECTRE TRI in an Open Source GIS, European Working Group ―Multiple Criteria Decision Aiding‖, Series 3, nº26, Fall 2012, 14-18. 509. Fernandez Eduardo, Navarro Jorge, Mazcorro Gustavo, Evolutionary multiobjective optimization for inferring outranking model‘s parameters under scarce reference information and effects of reinforced preference, Foundations of Computing and Decision Sciences, 2012, 37(3), 163-197. 510. Fernandez, E., Lopez, E., Mazcorro, G., Olmedo, R., Coello Coello, C.A., Application of the non-outranked sorting genetic algorithm to public project portfolio selection, Information Sciences 228 , pp. 131-149, 2013 511. José Rui Figueira, Salvatore Greco, Bernard Roy, Roman Słowiński, An Overview of ELECTRE Methods and their Recent Extensions, Journal of Multi-Criteria Decision Analysis, Volume 20, Issue 1-2, pages 61–85, January-April 2013 512. Jun ZHENG, Preference Elicitation for Aggregation Models based on Reference Points : Algorithms and Procedures, Ph.D. Thesis, ÉCOLE Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 513. 514. 515. 516. 517. 518. 519. 520. 521. 68 CENTRALE DES ARTS ET MANUFACTURES « ÉCOLE CENTRALE PARIS », 2012 Sobrie, O., Mousseau, V., Pirlot, M., Learning a majority rule model from large sets of assignment examples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8176 LNAI , pp. 336-350, 2013. Marco Corazza, Stefania Funari, and Riccardo Gusso, A Methodological Proposal for an Evolutionary Approach to Parameter Inference in MURAMEBased Problems, S. Bassis et al. (eds.), Recent Advances of Neural Network Models and Applications, Smart Innovation, Systems and Technologies 26, DOI: 10.1007/978-3-319-04129-2_8, © Springer International Publishing Switzerland 2014, 75-86 Salaja S, Novel service selection frameworks for pervasive environment and its analysis in health care and social network services, Ph.D. Thesis, Department of Computer Science and Technology, Karunya University, 2012 Laura Cruz, Eduardo R. Fernandez, Claudia G. Gomez and Gilberto Rivera, Multicriteria optimization of interdependent project portfolios with ‗a priori‘ incorporation of decision maker preferences, Eureka-2013. Fourth International Workshop Proceedings, Published by Atlantis Press, 169-178. Laura Cruz-Reyes, Eduardo Fernandez, Rafael Olmedo, Patricia Sanchez, Jorge Navarro, Preference Incorporation into Evolutionary Multiobjective Optimization using Preference Information Implicit in a Set of Assignment Examples, Eureka-2013. Fourth International Workshop Proceedings, Published by Atlantis Press, 179-187 Jun Zheng, Stéphane Aimé Metchebon Takougang, Vincent Mousseau, Marc Pirlot, Learning criteria weights of an optimistic ELECTRE TRI sorting rule, Computers & Operations Research 49 (2014) 28–40. Cruz, L., Fernandez, E., Gomez, C., Rivera, G., Perez. F. Many-objective portfolio optimization of interdependent projects with 'a priori' incorporation of decision-maker preferences, Applied Mathematics and Information Sciences 8 (4), pp. 1517-1531, 2014 Fernández, E., Navarro, J., Mazcorro, G. An evolutionary multi-objective algorithm for inferring parameters in outranking-based decision models: The case of the electre 3 method, Studies in Computational Intelligence 537, pp. 397-413, 2014 Corazza, M., Funari, S., Gusso, R., Particle Swarm Optimization for preference disaggregation in multicriteria credit scoring problems, Mathematical and Statistical Methods for Actuarial Sciences and Finance, pp. 119-130, 2014 The paper ―Evolution of the Population of a Genetic Algorithm using Particle Swarm Optimization. Application to Clustering Analysis, Operational Research, An International Journal, 9, 105-120, 2009‖ is cited by: 522. Zidan Shan, A Self-Adapting Improvement Particles Swarm Optimization Algorithm and Application in Multi-Criteria Group Decision-making, 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 12-14 August 2011 978-l-61284-088-8/ll/$26.00 ©2011 IEEE, 670-673. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 69 The paper ―Intelligent and Nature Inspired Optimization Methods in Medicine: The Pap-Smear Cell Classification Problem‖, Expert Systems. The Journal of Knowledge Engineering, 26, 5, 433-457, 2009‖ is cited by: 523. Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh, An Improved Swarm Optimized Functional Link Artificial Neural Network (ISOFLANN) for Classification, The Journal of Systems & Software (2012), 85, 6, 1333-1345. 524. Emilio Corchado, Javier Sedano, Leticia Curiel and Jose R. Villar, Optimizing the operating conditions in a high precision industrial process using soft computing techniques, Expert Systems. The Journal of Knowledge Engineering, 29 (3) , pp. 276-299, 2012 The paper ―Multiple Phase Neighborhood Search GRASP based on Lagrangean Relaxation, Random Backtracking Lin-Kernighan and Path Relinking for the Traveling Salesman Problem‖, Journal of Combinatorial Optimization, 17, 134-156, 2009‖ is cited by: 525. Wenjun Wang, Improved Genetic Algorithm for Vehicle Routing Problem with Time Windows, 2010 International Conference on Intelligent Computing and Cognitive Informatics 526. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle Routing Problem with Multiple Depots, Advanced Materials Research (Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204210.283, February 2011 527. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer 528. Paola Festa and Mauricio G.C. Resende, Hybridizations of GRASP with PathRelinking, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 135–155, Springer-Verlag Berlin Heidelberg 2013 529. Luo, J., Hu, Y., A new GRASP and path relinking for single machine scheduling with sequence dependent setups, IEEE International Conference on Control and Automation, ICCA , art. no. 6565014 , pp. 490-495 , 2013 530. Misevičius, A., Blaţinskas, A., Lenkevičius, A., Modified local search heuristics for the symmetric traveling salesman problem, Information Technology and Control 42 (3) , pp. 217-230, 2013 The paper ―A Stochastic Nature Inspired Metaheuristic for Clustering Analysis, International Journal of Business Intelligence and Data Mining, 3, 1, 30-44, 2008‖ ‖ is cited by: 531. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks using Evolutionary Location Intelligence, Second International Conference on Computing, Communication and Networking Technologies, Karur, Tamilandu, India, 29-31 July 2010. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 70 532. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks using Evolutionary Location Intelligence, IJCA Special Issue on Mobile Ad Hoc Networks, 2010, 120-123. 533. Ahmad, Waseem, Narayanan, Ajit (2010) Humoral-mediated clustering, IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), DΟΗ: 10.1109/BICTA.2010.5645279 Publication Year: 2010 , Page(s): 1471 - 1481 534. Waseem Ahmad, Ajit Narayanan, Humoral Artificial Immune System (HAIS) For Supervised Learning, 2010 Second World Congress on Nature and Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka, Japan 535. Waseem Ahmad, Ajit Narayanan, Humoral Outlier Detection using Humoralmediated Clustering (HAIS) 2010 Second World Congress on Nature and Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka, Japan 536. Waseem Ahmad and Ajit Narayanan, Population-Based Artificial Immune System Clustering Algorithm, P. Liò, G. Nicosia, and T. Stibor (Eds.): ICARIS 2011, LNCS 6825, pp. 348–360, 2011. © Springer-Verlag Berlin Heidelberg 2011 537. Waseem Ahmad and Ajit Narayanan, Principles and Methods of Artificial Immune System Vaccination of Learning Systems, P. Liò, G. Nicosia, and T. Stibor (Eds.): ICARIS 2011, LNCS 6825, pp. 268–281, 2011. © SpringerVerlag Berlin Heidelberg 2011 538. Waseem Ahmad and Ajit Narayanan, Humoral Artificial Immune System (HAIS) for supervised learning, International Journal of Computational Intelligence and Applications 11 (1) , art. no. 1250004, 2012 539. Waseem Ahmad and Ajit Narayanan, Outlier detection using humoralmediated clustering (HAIS), International Journal of Computational Intelligence and Applications 11 (1) , art. no. 1250003, 2012 540. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends using hybrid ant–colony–based data mining algorithms: an empirical validation on the Bombay Stock Exchange, International Journal of Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381 541. Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, Ming-Chao Chiang, A fast particle swarm optimization for clustering, Soft Comput DOI 10.1007/s00500-014-1255-3 542. Pazouki, M., Sepehri, M.M., Saberifiroozi, M., Discovering hidden cluster structures in patients with cirrhosis based on laboratory data, Govaresh, 19 (3), pp. 191-197, 2014 The paper ―A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem, Journal of Mathematical Modelling and Algorithms, 7, 1, 59-78, 2008‖ is cited by: 543. Vincent Gardeux, Optimisation par Essaim Particulaire, Memoire Adaptative, Reserche Tabu, Thesis, Paris, 2008 544. Dalila Benedita Machado Martins Fontes, António Gaspar Lopes da Cunha, Carlos Manuel Milheiro de Oliveira Pinto Soares, Fernando Arménio da Costa Castro e Fontes, Jorge Miguel Silva Valente, Maria do Rosário Mota de Oliveira Alves Moreira, Rui Alberto Ferreira Santos Alves, FCT Project Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 545. 546. 547. 548. 549. 550. 551. 552. 553. 554. 555. 556. 557. 558. 71 PTDC/EGE-GES/099741/2008, Evolutionary algorithms for Decision Problems in Management Science. Shih-Wei Lin, Vincent F. Yu, Wenyih Lee, Ching-Jung Tig, Solving the Location Routing Problem Based on a Simulated Annealing Heuristic, POMS 20th Annual Conference Orlando, Florida U.S.A. May 1 to May 4, 2009 Vincent F. Yu, Shih-Wei Lin, Wenyih Lee, Ching-Jung Tig, A Simulated Annealing Heuristic for the Capacitated Location Routing Problem, Computers and Industrial Engineering, (2010), 58, 2, 288-299. Frank Plastria, Comments on: Routing problems with loading constraints, Top (2010) 18: 34–35, DOI 10.1007/s11750-010-0142-z Matheus Rosendo, and Aurora Pozo, Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems, 2010 Eleventh Brazilian Symposium on Neural Networks, 2010 Rosendo, Matheus; Pozo, Aurora; A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems 2010 IEEE Congress on Evolutionary Computation (CEC), Digital Object Identifier: 10.1109/CEC.2010.5586178 Publication Year: 2010 , Page(s): 1 – 8 Matheus Rosendo, Um Algoritmo de Otimizacao por nuvem de Particulas de problemas combinatorios, Phd thesis, Universida de federal do Parana, Curitiba 2010 Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing problem with pricing for the collection of used products. 40th International Conference on Computers and Industrial Engineering (CIE), Publication Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217. Karaoglan, I., Altiparmak, F., Kara, I., Dengiz, B., A Branch and Cut Algorithm for the Location-Routing Problem with Simultaneous Pickup and Delivery, European Journal of Operational Research (2011), 211, 318-332 Fazel Zarandi, M.H., Hemmati, A., Davari, S., The Multi-depot Capacitated Location-Routing Problem with Fuzzy Travel Times, Expert Systems with Applications (2011), 38, 8, 10075-10084. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in Supply Chain Management: A Review of Selected Methods and Applications, in Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI: 10.4018/9781615206339.ch001 Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, A Multi-valued Discrete Particle Swarm Optimization for the Evacuation Vehicle Routing Problem, Y. Tan et al. (Eds.): ICSI 2011, Part I, LNCS 6728, pp. 182–193, 2011. © Springer-Verlag Berlin Heidelberg 2011 Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, Discrete Particle Swarm Optimization for Solving a Single to Multiple Destinations in Evacuation Planning, Recent Researches in Computational Techniques, Non-Linear Systems and Control, ISBN: 978-1-61804-011-4, 270-276 Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of SemiObnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis, Departamento de Economia, Gestão e Engenharia Industrial, Universidade de Aveiro 2011 Ali Bozorgi-Amiri, Mohammad Saeid Jabalameli, Mehdi Alinaghian, Mahdi Heydari, A modified particle swarm optimization for disaster relief logistics Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 559. 560. 561. 562. 563. 564. 565. 566. 567. 568. 569. 570. 571. 572. 72 under uncertain environment, International Journal of Advanced Manufacturing Technology, (2012), 60, 1-4, 357-371. Ismail Karaoglan, Fulya Altiparmak, Imdat Kara and Berna Dengiz, The location-routing problem with simultaneous pick up and delivery: Formulations and a heuristic approach, Omega, (2012), 40, 4, 465-477. Su, S., Yu, S., Ma, Y., Yang, Y., Xu, H., Routing on a spherical surface using hybrid PSO, Communications in Computer and Information Science 237 CCIS, 2011, pp. 43-51, © Springer-Verlag Berlin Heidelberg 2011 Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy clustering method to solve capacitated location-routing problem, African Journal of Business Management 5 (21), pp. 8470-8477, 2011 Mohammad Mahdi Nasiri, A pseudo particle swarm optimization for the RCPSP, International Journal of Advanced Manufacturing Technology, (2013), 65, 909-918, DOI 10.1007/s00170-012-4227-8 M.H.F. Zarandi, A. Hemmati, S. Davari, I. Burhan Turksen, Capacitated location-routing problem with time windows under uncertainty, KnowledgeBased Systems (2013), 37 , pp. 480-489 Ching-Jung Ting and Chia-Ho Chen, A Multiple Ant Colony Optimization Algorithm for the Capacitated Location Routing Problem, International Journal Production Economics, 141 (1) , pp. 34-44 Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis, current methods and objectives on location-routing problems, International Transactions in Operational Research 20 (6) , pp. 795-822, 2013 Mohammadi, M., Razmi, J., Tavakkoli-Moghaddam, R., Multi-objective invasive weed optimization for stochastic green hub location routing problem with simultaneous pick-ups and deliveries, Economic Computation and Economic Cybernetics Studies and Research 47 (3) , pp. 247-266 Martínez-Salazar, I.A., Molina, J., Ángel-Bello, F., Gómez, T., Caballero, R. , Solving a bi-objective transportation location routing problem by metaheuristic algorithms, European Journal of Operational Research 234 (1) , pp. 25-36, 2014 Sahar Validi, Arijit Bhattacharya & P.J. Byrne Integrated low-carbon distribution system for the demand side of a product distribution supply chain: a DoE-guided MOPSO optimiser-based solution approach, International Journal of Production Research, 52(10), 3074-3096, DOI: 10.1080/00207543.2013.864054, 2014 Karaoglan I, Altiparmak F. A memetic algorithm for the capacitated locationrouting problem with mixed backhauls. Computers and Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.009i Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a twolayer sustainable supply chain distribution model, Computers and Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i Vincent F. Yu, Shin-Yu Lin, A simulated annealing heuristic for the open location-routing problem, Computers & Operations Research, http: //dx.doi.org/10.1016/j.cor.2014.10.009 Zarandi, M.H.F., Hemmati, A., Davari, S., Turksen, I.B., A simulated annealing algorithm for routing problems with fuzzy constrains, Journal of Intelligent and Fuzzy Systems, 26 (6), pp. 2649-2660, 2014 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 73 The paper ―A Hybrid Stochastic Genetic GRASP Algorithm for Clustering Analysis, Operational Research, An International Journal, 8, 1, 33-46, 2008‖ is cited by: 573. Dervis Karaboga and Celal Ozturk, A Novel Clustering Approach: Artificial Bee Colony (ABC) Algorithm, Applied Soft Computing, 2011, 11, 1, 652657. 574. Maria Cristina Vasconcelos Nascimento, Metaheuristicas para o problema de agrupamento de dados em grafo, Ph.D. Instituto de Ciencias Matematicas e de Computacao – ICMC-USP, 2010, Brazil 575. J. Senthilnath, S.N. Omkar, V. Mani, Clustering using firefly algorithm: Performance study, Swarm and Evolutionary Computation (2011), 1, 3, 164-171. 576. J. Senthilnath, Vipul Das, S.N. Omkar, V. Mani, Clustering using Levy Flight Cuckoo Search, J. C. Bansal et al. (eds.), Proceedings of Seventh International Conference on Bio-Inspired, Computing: Theories and Applications (BIC-TA 2012), Advances in Intelligent Systems and Computing 202, DOI: 10.1007/978-81-322-1041-2 Springer India 2013, 65-75 577. Hoseinkhani, F. , Parcham, E. , Pournazary, M. , Borzue, N., Speech Recognition by Classifying Speech Signals Based on the Fire Fly and Fuzzy, Advanced International Conference on Computer Science Applications and Technologies (ACSAT), 2012 , 26-28 Nov. 2012, 187191, Kuala Lumpur 578. Zeev Volkovich, Gerhard–Wilhelm Weber, Renata Avros, Orly Yahalom, On an adjacency cluster merit approach International Journal of Operational Research, Volume 13, Number 3/2012, 239-255 579. José Augusto Fioruci, Franklina M.B. Toledo, Mariá Cristina V. Nascimento Heuristics for minimizing the maximum within-clusters distance, Pesquisa Operacional, vol.32 no.3 Rio de Janeiro Sept./Dec. 2012, http://dx.doi.org/10.1590/S0101-74382012005000023 The paper ―Particle Swarm Optimization for Pap-Smear Diagnosis, Expert Systems with Applications, 35, 1645-1656, 2008‖ is cited by: 580. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine Learning and Neural Networks, Special Edition of EETN. 581. Mohamed JEBALIA, “Optimisation par Stratégies d‘Évolution: Convergence et vitesses de convergence pour des fonctions bruitées - Résolution d‘un problème d‘identification‖, Ph.D. Thesis, THÈSE DE DOCTORAT DE L‘ÉCOLE POLYTECHNIQUE DE TUNISIE & L‘UNIVERSITÉ PIERRE ET MARIE CURIE, 2008 582. Seyed-Hamid Zahiri and Seyed-Alireza Seyedin, Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers, Studies in Computational Intelligence, Swarm Intelligence for Multi-objective Problems in Data Mining, 2009, Vol 242, 65-92. 583. Alejandro Cervantes Rovira, Clasificacion mediante Enjambre de Prototipos, Ph. D. Thesis, Universidad Carlos III de Madrid Departamento de Informatica, 2009 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 74 584. Torun, Y. Tohumoglu, G. , A new fuzzy classifier based on simulated annealing and subtractive clustering, 17th IEEE Conference on Signal Processing and Communications Applications, 2009. SIU 2009. 585. dos Santos Coelho, L., Gaussian Quantum-Behaved Particle Swarm Optimization Approaches for Constrained Engineering Design Problems, Expert Systems with Applications (2010), 37, 1676-1683 586. Loris Nanni, Alessandra Lumini, Sheryl Brahnam, Local binary patterns variants as texture descriptors for medical image analysis. Artificial Intelligence in Medicine (2010), 49, 2, 117-125. 587. Jingzheng Ren, Shiyu Tan, Lichun Dong, Siran He, Xiao Ji, Optimization of the Reflux Ratio for a Stage Distillation Column Based on an Improved Particle Swarm Algorithm, Chemical and Process Engineering, 2010, 31, 15–24 588. Noor A. Samsudin and Andrew P. Bradley, Nearest neighbour group based classification, Pattern Recognition, 43, 10, 3458-3467. 589. Torun, Y. Tohumoglu, G., Designing Simulated Annealing and Subtractive clustering based fuzzy classifier, Applied Soft Computing (2011), 11, 2, 2193-2201. 590. Dexuan Zou, Liqun Gao, Jianhua Wu and Steven Li, Novel global harmony search algorithm for unconstrained problems, Neurocomputing, (2010), 73, 16-18, 3308-3318. 591. Nanni, L., Brahnam, S., Lumini, A., Combining different Local Binary Pattern variants to boost performance, Expert Systems with Applications (2011), 38, 5, 6209-6216. 592. Plissiti, M.E., Nikou, C., Charchanti, A., Combining Shape, Texture and Intensity Features for Cell Nuclei Extraction in Pap Smear Images, Pattern Recognition Letters (2011), 32, 6, 838-853. 593. Cheng, Z., Ma, Y., Control chart pattern recognition based on PSO and LSSVM, Transactions Hong Kong Institution of Engineers, Volume 17, Issue 1, March 2010, Pages 7-10 594. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible Swarm for Solving Constrained Optimization Problems, 6th International Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ, Turkey 595. Ehsan Valian, Shahram Mohanna and Saeed Tavakoli, IMPROVED CUCKOO SEARCH ALGORITHM FOR FEEDFORWARD NEURAL NETWORK TRAINING, International Journal of Artificial Intelligence & Applications (IJAIA), Vol.2, No.3, July 2011, 36-43 596. Loris Nanni, Sheryl Brahnam, Alessandra Lumini, A simple method for improving local binary patterns by considering non-uniform patterns, Pattern Recognition, http://dx.doi.org/10.1016/j.patcog.2012.04.007 597. Miloslav Hajek and Yashik Singh, Medical AI–HIV/AIDS Treatment Management System, Beyond AI: Interdisciplinary Aspects of Artificial Intelligence, Jan Romportl, Pavel Ircing, Eva Zackova, Radek Schuster, Michal Polak, Proceedings of The International Conference Beyond AI 2011 Pilsen, Czech Republic, December 8–9, 2011 598. Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR 2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin Heidelberg 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 75 599. Marina E. Plissiti and Christophoros Nikou, A Review of Automated Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling in Biomechanics, Lecture Notes in Computational Vision and Biomechanics 4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media Dordrecht 2013 600. Rodríguez-González, A., Torres-Niño, J., Hernández-Chan, G., JiménezDomingo, E., Alvarez-Rodríguez, J.M., Using Agents to Parallelize a Medical Reasoning System Based on Ontologies and Description Logics as an Application Case, Expert Systems with Applications (2012), 39 (18) , pp. 13085-13092 601. C. Bergmeir, M.G. Silvente, J.M. Benítez., Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a webbased software framework, Comput. Methods Programs Biomed. (2012), 107 (3) , pp. 497-512 602. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Engineering Applications of Artificial Intelligence (2011), 25 (5) , pp. 934-944 603. Zhao, J., Han, C., Han, D., Wei, B. , A multi-population univariate marginal distribution algorithm for feature selection, 2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings , art. no. 6342084 604. Plissiti, M.E., Nikou, C., Overlapping cell nuclei segmentation using a spatially adaptive active physical model, IEEE Transactions on Image Processing 21 (11) , art. no. 6226464 , pp. 4568-4580, 2012 605. Zhao, J., Han, C., Wei, B., Zhao, Q., Xiao, P., Zhang, K. , Feature selection based on particle swarm optimal with multiple evolutionary strategies, 15th International Conference on Information Fusion, FUSION 2012 , art. no. 6289906 , pp. 963-968 606. Ruoping, L., Xiangyong, K., Liqun, G., Dexuan, Z., Practicably optimal point and its solution in deterministic system, Applied Mechanics and Materials 190-191 , pp. 143-146, 2012 607. Luz Helena Camargo Casallas, Classification of squamous cell cervical cytology, Thesis submitted in partial fulfillment of the requirements for the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia 2012 608. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible Swarm for Solving Constrained Optimization Problems, International Journal of Intelligent Systems and Applications in Engineering, 1, 1, 2013 609. Ahmed Ahmed El-Sawy, Elsayed M. Zaki, and R. M. Rizk-Allah, Hybridizing Ant colony Optimization With Firefly Algorithm For Unconstrained Optimization Problems, The Online Journal on Computer Science and Information Technology (OJCSIT), Vol. (3), No. (3), 185-193 610. Cervante, L., Xue, B., Shang, L., Zhang, M., Binary particle swarm optimisation and rough set theory for dimension reduction in classification, 2013 IEEE Congress on Evolutionary Computation, CEC 2013, art. no. 6557860 , pp. 2428-2435 611. Rizk-Allah, R.M., Zaki, E.M., El-Sawy, A.A., Hybridizing ant colony optimization with firefly algorithm for unconstrained optimization problems, Applied Mathematics and Computation 224 , pp. 473-483, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 76 612. Bing Xue, Mengjie Zhang, Will N. Browne, Particle Swarm Optimisation for Feature Selection in Classification: Novel Initialisation and Updating Mechanisms, Applied Soft Computing Journal (2014), 18, 261-276 613. Xue, B., Cervante, L., Shang, L., Browne, W.N., Zhang, M. , Binary PSO and rough set theory for feature selection: A multi-objective filter based approach, International Journal of Computational Intelligence and Applications, 13 (2), 1450009, 2014 The paper ―Expanding Neighborhood Search - GRASP for the Probabilistic Traveling Salesman Problem, Optimization Letters, 2, 3, 351-361, 2008‖ is cited by: 614. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving NP-Complete Problems, MSc Thesis, Technical University of Denmark, Informatics and Mathematical Modeling, 2008 615. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Technical Report IridiaTr2009-017r001, 2009 616. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Computers and Operations Research, 2010, 37, 11, 1939-1951. 617. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics and Computation (2010), 216, 1, 125-137. 618. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic Combinatorial Optimization: Case Studies in Stochastic Routing Problems, Ph.D. Thesis, University of Bruxelles, 2010. 619. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization Simulated Annealing Algorithm for the Probabilistic Travelling Salesman Problem, SIC: vol. 21, issue 1/2012, pp. 49-58 620. Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013 621. Tongquan Zhang, Ying Yin, Jianping Li, Shortest path problems with leftside time windows, Optimization Letters (2012), 6(8), 1935-1943. 622. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic traveling salesman problem with time windows, EURO Journal of Transportation and Logistics (2013) 2:89–107 623. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics, 1 and Evolutionary Computation IV, Advances in Intelligent Systems and Computing 227, DOI: 10.1007/978-3-319-01128-8_1, c_ Springer International Publishing Switzerland 2013 624. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A Comparative Analysis of Traveling Salesman Solutions from Geographic Information Systems, Transactions in GIS, 9 JUN 2013, DOI: 10.1111/tgis.12045, © 2013 John Wiley & Sons Ltd Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 77 The paper ―Application of Ant Colony Optimization to Credit Risk Assessment, New Mathematics and Natural Computation, 4, 1, 107-122, 2008‖ is cited by: 625. R. Chiong, F. Neri and R. I. McKay, ―Nature that breeds solutions‖ in NatureInspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science and Engineering, R. Chiong (Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009. ISBN 978-1-60566-705-8. 626. Cheng-An Li, Jing Xu, and He-Yong Wang, ―Application of Particle Swarm Optimization to Credit Risk Assessment‖, Proceedings of the 2009 IEEE International Conference on Information and Automation, June 22-25 2009, Zhuhai/Macau, China. 627. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Engineering Applications of Artificial Intelligence (2011), 25(5), 933-944 628. Cheng-An Li, Credit Scoring Analysis Using B-Cell Algorithm and K-Nearest Neighbor Classifiers, Y. Tan, Y. Shi, and H. Mo (Eds.): ICSI 2013, Part II, LNCS 7929, pp. 191–199, 2013. © Springer-Verlag Berlin Heidelberg 2013 Σhe paper ―A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu Search Algorithm for the Feature Selection Problem‖, Optimization Letters, 2, 3, 299308, 2008‖ is cited by: 629. P. Yelland, R. Stratulate. Predictive analytics for bloodbuild conversion. Sun Microsystems Laboratories Technical Report. 630. Lu Baiquan, Gao Gaiqin, Lu Zeyu, The block diagram method for designing the particle swarm optimization algorithm, Journal of Global Optimization (2012), 52, 4, 689-710. 631. Martin Macas, Opinion Formation Inspired Search Strategies for Feature Selection, Ph.D. Thesis, Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague 632. Pishdadian, F. ; Nelson, J.K., On the transcription of monophonic melodies in an instance-based pitch classification scenario, 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 11-14 Aug. 2013, 222 – 227, DOI: 10.1109/DSP-SPE.2013.6642594 The paper ―Nature Inspired Intelligence in Medicine: Ant Colony Optimization for Pap-Smear Diagnosis, International Journal on Artificial Intelligence Tools (IJAIT), 17, 2, 279 – 301, 2008‖ is cited by: 633. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain. 634. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image Analysis and Pattern Classification Techniques for Automatic Pap Smear Screening Process, The 2008 International Conference on Embedded Systems and Intelligent Technology February 27-29, 2008, Grand Mercure Fortune Hotel, Bangkok, Thailand. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 78 635. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine Learning and Neural Networks, Special Edition of EETN. 636. R. Chiong, F. Neri and R. I. McKay, ―Nature that breeds solutions‖ in NatureInspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science and Engineering, R. Chiong (Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009. ISBN 978-1-60566-705-8. 637. Chen, L.-S., Applying swarm intelligence to a library system, Library Collections, Acquisitions, & Technical Services (2010), 34, 1, 1-10. 638. Victor-Emil Neagoe, Catalina-Elena Neghina, and Mihai Neghina, Ant Colony Optimization for Logistic Regression and Its Application to Wine Quality Assessment, Mathematical Models for Engineering Science, ISBN: 978960-474-252-3, 195-200 639. Chen, L.S., Applying Swarm Intelligence for Campus Safety Management, Journal of Global Business Management, 4, 2, October 2008. 640. Luz Helena Camargo Casallas, Classification of squamous cell cervical cytology, Thesis submitted in partial fulfillment of the requirements for the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia 2012 641. VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC, CATALINAELENA NEGHINA, and GABRIEL-EDUARD STRUGARU, New Computational Intelligence-Based Techniques for Training Sample Selection/Generation to Improve Spatial-Contextual Classification of Multispectral Remote Sensing Imagery, Recent Advances in Information Science, ISBN: 978-1-61804-140-1, 21-26 The paper ―A Bilevel Genetic Algorithm for a Real Life Location Routing Problem, International Journal of Logistics: Research and Applications, 11, 1, 49-65, 2008‖ is cited by: 642. International Logistics Abstracts, February 2008, Vol. 4, No 1, Abstracts 08/1 – 08/145, Cranfield University, School of Management 643. Rui Borges Lopes, Carlos Ferreira, Beatriz Sousa Santos, Sérgio Barreto, A taxonomical analysis, current methods and objectives on location-routing problems XVII International Meeting on Locational Analysis, Elche, September 17-19, 2008 644. Seyed Reza Sajjadi, Integrated Supply Chain: Multi Products Location Routing Problem Integrated with Inventory under Stochastic Demand, Ph.D. Thesis, Department of Industrial and Manufacturing Engineering, Wichita State University, 2008 645. Rasheed Sahraeian and Ali Nadizadeh, Using Greedy Clustering Method for Solving Capacitated Location Routing Problem, 3rd International Conference on Industrial Engineering and Industrial Management, 2nd – 4th September 2009, Barcelona, Spain. 646. Herminia I. Calvete, Carmen Galé and María-José Oliveros, Bilevel model for production-distribution planning solved by using ant colony optimization, Computers & Operations Research, (2011), 38, 1, 320-327. 647. Moacir Godinho Filho and Rogerio de Avila Ribeiro Junqueira, Chinese Postman Problem (CPP): solution methods and computational time, Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 648. 649. 650. 651. 652. 653. 654. 655. 656. 657. 658. 659. 660. 79 International Journal of Logistics Systems and Management, Volume 7, Number 3, 2010, 324 - 344 M. S. Jabal-Ameli, M. B. Aryanezhad and N. Ghaffari-Nasab, A variable neighborhood descent based heuristic to solve the capacitated location-routing Problem, International Journal of Industrial Engineering Computations (2011), 2, 141-154, doi: 10.5267/j.ijiec.2010.06.003. Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing problem with pricing for the collection of used products. 40th International Conference on Computers and Industrial Engineering (CIE), Publication Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217. Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of SemiObnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis, Departamento de Economia, Gestão e Engenharia Industrial, Universidade de Aveiro 2011 Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy clustering method to solve capacitated location-routing problem, African Journal of Business Management 5 (21), pp. 8470-8477, 2011 Niu, H., Determination of the Skip-Stop Scheduling for a Congested Transit Line by Bilevel Genetic Algorithm, International Journal of Computational Intelligence Systems 4 (6), pp. 1158-1167, 2011 Hamidi, M., Farahmand, K., Sajjadi, S.R., Nygard, K.E. , A hybrid GRASPtabu search metaheuristic for a four-layer location-routing problem, International Journal of Logistics Systems and Management 12 (3) , pp. 267-287, 2012 Mehrjerdi, Y.Z., Nadizadeh, A., Using Greedy Clustering Method to Solve Capacitated Location-Routing Problem with Fuzzy Demands, European Journal of Operational Research (2013), 229, 75-84 Ching-Jung Ting and Yu-Ju Yang, Solving the Bi-level Programming for Supply Chain Distribution Network with Threshold Accepting, The 2012 International Symposium on Semiconductor Manufacturing Intelligence N. Ghaffari-Nasab, S. Ghazanfar Ahari, M. Ghazanfari, A hybrid simulated annealing based heuristic for solving the location-routing problem with fuzzy demands, Scientia Iranica Transactions E: Industrial Engineering, 2013, 20, 919-930 Xuan Qiu & George Q. Huang (2013): Storage pricing, replenishment, and delivery schedules in a supply hub in industrial park: A bilevel programming approach, International Journal of Production Research, 51, 6950-6971. Ghaffari-Nasab, N., Jabalameli, M.S., Saboury, A., Multi-objective capacitated location-routing problem: Modelling and a simulated annealing heuristic, International Journal of Services and Operations Management 15 (2) , pp. 140-156 Jia, L., Wang, Y., Fan, L., Multiobjective bilevel optimization for productiondistribution planning problems using hybrid genetic algorithm, Integrated Computer-Aided Engineering 21 (1) , pp. 77-90, 2014 Hamidi, M., Farahmand, K., Reza Sajjadi, S., Nygard, K.E., A heuristic algorithm for a multi-product four-layer capacitated location-routing problem, International Journal of Industrial Engineering Computations 5 (1) , pp. 87-100, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 80 661. Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis, current methods and objectives on location-routing problems, International Transactions in Operational Research 20 (6) , pp. 795-822, 2013 662. Zare Mehrjerdi, Y., Nadizadeh, A., Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands, European Journal of Operational Research 229 (1) , pp. 75-84, 2013 663. Nader Ghaffari-Nasab & Mohamad Saeed Jabalameli & Mir Bahador Aryanezhad & Ahmad Makui, Modeling and solving the bi-objective capacitated location-routing problem with probabilistic travel times, Int J Adv Manuf Technol (2013) 67:2007–2019 DOI 10.1007/s00170-012-4627-9 664. Xuan Qiu, George Q. Huang, and Jasmine Siu Lee Lam, A Bilevel Analytical Model for Dynamic Storage Pricing in a Supply Hub in Industrial Park (SHIP), IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, (accepted) 665. Herminia I. Calvete, Carmen Galé, José A. Iranzo, Planning of a decentralized distribution network using bilevel optimization, Omega 49 (2014) 30–41 666. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a twolayer sustainable supply chain distribution model, Computers and Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i 667. Michael Drexl, Michael Schneider, A survey of variants and extensions of the location-routing problem, European Journal of Operational Research 000 (2014) 1–25 668. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A case analysis of a sustainable food supply chain distribution system—A multi-objective approach, Int. J. Production Economics 152 (2014) 71–87 669. Yang Liu, Yun Yuan, Yi Chen, Lingxiao Ruan, and Hao Pang, A Chance Constrained Goal Programming Model for Location-Routing Problem Under Uncertainty, R. Zhang et al. (eds.), LISS 2013: Proceedings of 3rd International Conference on Logistics, Informatics and Service Science, DOI 10.1007/978-3-642-40660-7_15, © Springer-Verlag Berlin Heidelberg 2015, 105-116 670. Jia, L., Feng, X., Zou, G., Solving multiobjective bilevel transportationdistribution planning problem by modified NSGA II, Proceedings - 9th International Conference on Computational Intelligence and Security, CIS 2013, 6746407, pp. 303-307, 2013 The paper ―Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms for Credit Risk Assessment, Journal of Global Optimization, 42, 279-293, 2008‖ is cited by: 671. Yorgos Goletsis, Themis Exarchos and Christos Katsis, Can Ants Predict Bankruptcy? A Comparison of Ant Colony Systems to other state-of-the-art Computational Methods, New Mathematics and Natural Computation, 5 (3), 2009, 571-588. 672. Vytautas Boguslauskas and Ricardas Milleris, Estimation of Credit Risk by Artificial Neural Networks Model, Economics of Engineering Decisions, 4, 2009, 7-14 673. Vasilis Vassiliadis and Georgios Dounias, Nature Inspired Intelligence: A Review of Selected Methods, International Journal on Artificial Intelligence Tools, 18(4), 487-516, 2009 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 81 674. Ricardas Milleris, Estimation of loan applicants default probability applying discriminant analysis and simple bayesian classifier, Economics and Management, 15, 1078-1084, 2010 675. Xiaoguang Deng, Xianyi Zeng, Philippe Vroman, Ludovic Koehl, An intelligent multi-criteria optimization method for quick and market-oriented textile material design, Journal of Global Optimization, 2011, 51 (2), pp. 227-244 676. Zhuo, X., Dai, F., Dynamic quantitative trust assessment model between partner-enterprises of supply chain alliances, ICLEM 2010: Logistics for Sustained Economic Development - Infrastructure, Information, Integration - Proceedings of the 2010 International Conference of Logistics Engineering and Management Volume 387, 2010, p. 4585-4592 677. Abbas Keramati, Niloofar Yousefi, A Proposed Classification of Data Mining Techniques in Credit Scoring, Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, January 22 – 24, 2011 678. İhsan Kaya, Cengiz Kahraman and Selçuk Çebi, Computational Intelligence Techniques for Risk Management in Decision Making, Intelligent Systems Reference Library, 1, Volume 33, Handbook on Decision Making, Part I, Pages 9-38, Springer, 2012 679. Saeed Mirzamohammadi, Mostafa Mansouri, Application of Regression and Neural Networks for Prediction of the Profit Rise on Assets Log in Tehran Stock Exchange, Journal of Basic and Applied Scientific Research, 3(5), 262-269, 2013, © 2013, TextRoad Publication, ISSN 2090-4304 680. A I Marqués, V García and J S Sánchez, A literature review on the application of evolutionary computing to credit scoring, Journal of the Operational Research Society, 64, 1384-1399, 2013 681. Ram Babu, A.Rama Satish, Improved of K-Nearest Neighbor Techniques in Credit Scoring, International Journal For Development of Computer Science & Technology (Volume - 1, Issue - 2, Feb – March - 2013), ISSN: 2320-7884 (Online) 682. Vicente Garcıa, Ana I. Marques, J. Salvador Sanchez, An insight into the experimental design for credit risk and corporate bankruptcy prediction systems, J Intell Inf Syst DOI 10.1007/s10844-014-0333-4 The paper ―Application of a Genetic Algorithm for the Credit Risk Assessment Problem, Foundations of Computing and Decisions Sciences, 32, 2, 139-152, 2007‖ is cited by: 683. Zhong, Xing, Peng, Yi, Kou, Gang, A dynamic self-adoptive genetic algorithm for personal credit risk assessment, 3rd International Conference on Information Sciences and Interaction Sciences (ICIS), 2010, 711 – 716. The paper ―Annotated Bibliography in Vehicle Routing, Operational Research an International Journal, 7, 1, 27-46, 2007‖ is cited by: 684. N. Matsatsinis, Towards a decision support system for the ready concrete distribution system: A case of a Greek company, European Journal of Operational Research, 152, 2004, 487-499. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 82 685. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic Algorithms In Supply Chain Scheduling Of Ready mixed Concrete, Erasmus Research Institute Of Management, Report Series Research In Management, ERS2004-096-LIS, October 2004 686. David Naso and Biagio Turchiano, Multicriteria Meta-Heuristics for AGV Dispatching Control Based on Computational Intelligence, IEEE Transactions On Systems, Man, And Cybernetics-Part B: Cybernetics, vol. 35, no. 2, April 2005, 208-226. 687. D. Naso, M. Surico, ―A Multi-Objective Evolutionary Approach to Distributed Supply Network Scheduling‖, Proceeding of 16th IFAC World Congress , Prague, Czech Republic, July 4-8, 2005 688. D. Naso, M. Surico, and B. Turchiano, Reactive Scheduling of a Distributed Network for the Supply of Perishable Products, IEEE Transactions on Automation Science and Engineering, vol. 4, no. 3, 407-423, July 2007. 689. D. Naso, M. Surico, and B. Turchiano, Scheduling Production and Distribution of Rapidly Perishable Materials with Hybrid GA’s, Studies in Computational Intelligence, 49, 465-483, 2007. 690. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete, European Journal of Operational Research, 177, 3, 2007, 20692099. 691. Jirí Vokrínek, Antonín Komenda and Michal Pechoucek, Agents Towards Vehicle Routing Problems, Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), van der Hoek, Kaminka, Lespérance, Luck and Sen (eds.), May, 10–14, 2010, Toronto, Canada, pp. 773-780 692. Joseph Gallart Suarez, Manuel Tupia Anticona, Two GRASP Metaheuristic for the Capacitated Vehicle Routing Problem Considering Split Delivery and Solving the Three Dimensional Bin Packing Problem, Advances in Information Sciences and Service Sciences Volume 2, Number 2, June 2010 693. Peter Matis · Michal Koháni, Very large street routing problem with mixed transportation mode, Central European Journal of Operations Research, (2011), 19, 3, 359-369. 694. Joseph Gallart Suarez, Manuel Tupia Anticona, Solving the Capacitated Vehicle Routing Problem and the Split Delivery Using GRASP Metaheuristic, M. Bramer (Ed.): IFIP AI 2010, IFIP AICT 331, pp. 243–249, 2010. © IFIP International Federation for Information Processing 2010 695. Juan R. Jaramillo, Albany State University, The Single Green Vehicle Routing Problem, The 2010 Southeastern INFORMS Conference, Thursday, October 7, to Friday, October 8, 2010, South Carolina, USA. 696. Sara Ceschia, Luca Di Gaspero, Andrea Schaerf, Tabu search techniques for the heterogeneous vehicle routing problem with time windows and carrierdependent costs, Journal of Scheduling, 2011, 14, 6, 601-615. 697. Abel Garcia Najera, Multi-Objective Evolutionary Algorithms for Vehicle Routing Problems, Ph.D. Thesis, School of Computer Science College of Engineering and Physical Sciences, The University of Birmingham, UK, November 2010 698. Sahbi Ben Ismail, François Legras, Gilles Coppin, Synthèse du problème de routage de véhicules, Collection des rapports de recherché de Télécom Bretagne, RR-2011-03-LUSSI, 2011. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 83 699. Philip Kilby, Andrew Verden, Flexible routing combing Constraint Programming, Large Neighbourhood Search, and Feature-based Insertion, Artificial Intelligence and Logistics (AILog) Workshop at IJCAI’11, Barcelona, Spain, 2011. 700. Rita Alexandra Santos Gonçalves de Macedo, , Models and Algorithms for Hard Optimization Problems, Ph.D. Thesis, Universidade do Minho Escola de Engenharia, January 2011, Portugal 701. Sara Ceschia, Local Search Algorithms for Integrated Logistics, Ph.D. Thesis, Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Universita degli Studi di Udine, February 28, 2012 702. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with split delivery and heterogeneous demand, Optimization Letters, DOI 10.1007/s11590-012-0571-8 703. Andres Pico, and Yong Hui Ronny Tan, Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster, MBA Professional Report, Naval Postgraduate School Monterey, CA 93943-5000, December 2012 704. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green Vehicle Routing Problem: Past and future trends, Expert Systems with Applications 41 (4 PART 1) , pp. 1118-1138, 2014 705. Jeffrey A. McDougall, Luis Daniel Otero, Juan Avendano, and Abdel Ejnioui, System Analysis Methods in Emergency Systems Vehicle Routing Problem, 2013 IEEE International Systems Conference (SysCon), 15-18 April 2013, pp. 8-18, DOI: 10.1109/SysCon.2013.6549978 706. E.K. Burke and G. Kendall (eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, DOI 10.1007/978-1-4614-6940-7_1, © Springer Science+Business Media New York 2014 707. S.P. Anbuudayasankar et al., Models for Practical Routing Problems in Logistics: Design and Practices, DOI 10.1007/978-3-319-05035-5_2, © Springer International Publishing Switzerland 2014 The paper ―A New Bilevel Formulation for the Vehicle Routing Problem and a Solution Method Using a Genetic Algorithm, Journal of Global Optimization, 38, 555-580, 2007‖ is cited by: 708. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time Travel Times, Technical Report (TP2-2007-WP8), European University Viadrina, Germany, 2007. 709. Irene Okhrin and Knut Richter, The Real – Time Vehicle Routing Problem, Operations Research Proceedings, 141-146, 2008, DOI: 10.1007/978-3-54077903-2, Springer Berlin Heidelberg. 710. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving NP-Complete Problems, MSc Thesis, Technical University of Denmark, Informatics and Mathematical Modeling, 2008 711. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time Travel Times, Techniques and Applications for Mobile Commerce, C. Branki et al. (Eds), Frontiers in Artificial Intelligence and Applications, Vol. 169, 32-45. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 84 712. Ping Ji, Hongtao Wu, Yongzhong Wu, Quadratic Programming for the Vehicle Routing Problem, The 7th International Symposium on Operations Research and Its Applications (ISORA’08) Lijiang, China, October 31– Novemver 3, 2008, Copyright © 2008 ORSC & APORC, pp. 82–90 713. Irene Okhrin and Knut Richter, Vehicle Routing Problem with Real-time Travel Times, International Journal of Vehicle Information and Communication Systems, Vol. 2, Number 1-2, 59-77, 2009. 714. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan, A Parametric Integer Programming Algorithm For Bilevel Mixed Integer Programs, Optimization and Control, arxiv 0907.1298, 2009. 715. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4, 2009 716. Liu Fanghua Zhao Jianmin Xu Huiying , Research on Optimizing Physical Distribution Routing Based on Mergers & Acquisitions Algorithm, COMPUTER AND DIGITAL ENGINEERING, 2009, 37, 8. 717. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan, Parametric Integer Programming Algorithm For Bilevel Mixed Integer Programs, Journal of Optimization Theory and Applications, 2010, 146, 1, 137-150. 718. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI 10.1109/GCIS.2010.171, 335-339 719. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in Supply Chain Management: A Review of Selected Methods and Applications, in Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI: 10.4018/9781615206339.ch001 720. Berit Johannes, New Classes of Complete Problems for the Second Level of the Polynomial Hierarchy, Ph.D. Thesis, Von der Fakult¨at II – Mathematik und Naturwissenschaften der Technischen Universit¨at Berlin zur Erlangung des akademischen Grades, 2011 721. J Pacheco, A Alvarez, I Garcıa and F Angel-Bello, Optimizing vehicle routes in a bakery company allowing flexibility in delivery dates, Journal of the Operational Research Society (2012), 63, 5, 569-581. 722. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2012), 39, 9, 2248-2257. 723. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer 724. Zou, G., Jia, L., Zou, J. , Random-weight based genetic algorithm for multiobjective bilevel mixed linear integer programming, Proceedings International Conference on Natural Computation, art. no. 6234677 , pp. 693-697, 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 85 725. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a Heuristic for the Vehicle Routing and Loading Problem, Computers & Operations Research, 40 (3) , pp. 873-885 726. Knut Richter and Irena Okhrin, Progress in Solving Vehicle Routing Problems, DR-LOG 08, 21 – 25 May 2008, Moskau 727. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21 728. Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de Montreal & Universite de Technologie de Troyes, These presentee en vue de l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013 729. Georgios K.D. Saharidis, Antonio J. Conejo, and George Kozanidis, Exact Solution Methodologies for Linear and (Mixed) Integer Bilevel Programming, E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, SCI 482, pp. 221–245. DOI: 10.1007/978-3-642-37838-6_8, © Springer-Verlag Berlin Heidelberg 2013 730. Pacheco, J., Caballero, R., Laguna, M., Molina, J., Bi-objective bus routing: An application to school buses in rural areas, Transportation Science 47 (3) , pp. 397-411, 2013 731. Ozsoydan, F.B., Sipahioglu, A., Heuristic solution approaches for the cumulative capacitated vehicle routing problem, Optimization 62 (10) , pp. 1321-1340, 2013 732. Jose Ruben Gomez, Joaquın Pacheco, Hernan Gonzalo-Orden, A Tabu Search Method for a Bi-Objective Urban Waste Collection Problem, ComputerAided Civil and Infrastructure Engineering (2013), 1-18. 733. Joaquin Pacheco, Irma Garcλa, Ada Αlvarez, Enhancing variable neighborhood search by adding memory: Application to a real logistic problem, Knowledge-Based Systems 62 (2014) 28–37 734. S.P. Anbuudayasankar et al., Models for Practical Routing Problems in Logistics: Design and Practices, DOI 10.1007/978-3-319-05035-5_2, © Springer International Publishing Switzerland 2014 735. Qi, C., Li, P., An exponential entropy-based hybrid ant colony algorithm for vehicle routing optimization, Applied Mathematics and Information Sciences, 8 (6), pp. 3167-3173, 2014 The paper ―A Hybrid Genetic - GRASP Algorithm Using Lagrangean Relaxation for the Traveling Salesman Problem, Journal of Combinatorial Optimization, 10, 311326, 2005‖ is cited by: 736. G. Voicu, A Comparative Analysis of Traveling Salesman Heuristic Implementations in GIS, GIS Masters Project, University of Texas, Dallas, 2006 737. Aybars Ugur, Path Planning On A Cuboid Using Genetic Algorithms, Information Sciences, 178, 16, 3275-3287, 2008. 738. Peter Merz and Jutta Huhse, An Iterated Local Search Approach for Finding Provably Good Solutions for Very Large TSP Instances, G. Rudolph et al. (Eds.): PPSN X, LNCS 5199, pp. 929–939, 2008, Springer-Verlag Berlin Heidelberg. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 86 739. Barış Özkan, Utku Cevre, Aybars Uğur, Melez Bir Eniyileme Yöntemi İle Rota Planlama, Akademik Bilişim 2008 30 October - 1 November 2008 Çanakkale Onsekiz Mart Üniversitesi, Çanakkale (Dardanelia), Turkey 740. Aybars Uğur, Serdar Korukoğlu, Ali Ζalıskan, Muhammed Cinsdikici, Ali Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009. 741. Jinhong Zhong, Ling Huang, "Application Progress of Genetic Algorithm for Economic Lot Sizing Problem," pp.2858-2861, 2009 First IEEE International Conference on Information Science and Engineering, 2009 742. Reza Zamani and Sim Kim Lau, Embedding learning capability in Lagrangean relaxation: An application to the travelling salesman problem, European Journal of Operational Research, 2010, 201, 82-88. 743. Alfonsas Misevičius, Andrius Blaţinskas, Jonas Blonskis, Vytautas Bukšnaitis, ON THE GENETIC ALGORITHMS FOR THE TRAVELING SALESMAN PROBLEM: NEGATIVE AND POSITIVE ASPECTS, INFORMACIJOS MOKSLAI. 2009, 50, 173-180. 744. Victoria Horan and Michael Gudaitis, INVESTIGATION OF ZERO KNOWLEDGE PROOF APPROACHES BASED ON GRAPH THEORY, AFRL-RI-RS-TR-2011-041, FEBRUARY 2011, FINAL TECHNICAL REPORT, Air Force Research Laboratory/RIGD, NY, USA 745. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade Federal de Minas Gerais, May 2011 746. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based on Chemical Reaction Optimization and Lin-Kernighan Local Search for the Traveling Salesman Problem, 2011 Seventh International Conference on Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 15181521. 747. Peter Merz, Memetic Algorithms and Fitness Landscapes in Combinatorial Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms, Studies in Computational Intelligence 379, pp. 95–119, Springer-Verlag Berlin Heidelberg 2012 748. S.H. Nasseri, M.H. Khaviari, Solving TSP by Considering Processing Time: Meta-Heuristics and Fuzzy Approaches, Fuzzy Information and Engineering (2011) 4: 359-378, DOI 10.1007/s12543-011-0091-8, Springer 749. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model Based on MAS, Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-64225188-7_62 750. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer 751. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency supplies and minimize save points based on grey correlation analysis, Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56, 2012 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 87 752. Sauerland Volkmar, Algorithm Engineering for some Complex Practise Problem: Exact Algorithms, Heuristics and Hybrid Evolutionary Algorithms, Kiel, Christian-Albrechts-Universität, Diss., 2012 753. R.SIVARAJ, T.RAVICHANDRAN, R.DEVI PRIYA, Solving Travelling Salesman Problem using Clustering Genetic Algorithm International Journal on Computer Science and Engineering (IJCSE), Vol. 4 No. 07 July 2012, 1310-1317 754. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A Comparative Analysis of Traveling Salesman Solutions from Geographic Information Systems, Transactions in GIS, 18(2), 286-301, DOI: 10.1111/tgis.12045, © 2014 John Wiley & Sons Ltd The paper ―Expanding Neighborhood GRASP for the Traveling Salesman Problem, Computational Optimization and Applications, 32, 231-257, 2005‖ is cited by: 755. M.G.C. Resende and P. Festa, An Updated Bibliography of GRASP available online http://www.optimization-online.org/DBFILE /2003/10/758.pdf 756. M.G.C. Resende and P. Festa, An Annotated Bibliography of GRASP, Technical Report TD-5WYSEW, AT&T Labs Research, Florham Park, NJ 07932, February 2004, submitted in European Journal of Operational Research and available online in http://www.optimizationonline.org/DBFILE /2004/03/834.pdf 757. Elizabeth Gouvea Golbarg, Marco Goldbarg and Joa Farias, GRASP with Path Relinking for the TSP, Metaheuristics, Progress in Complex Systems Optimization, Vol. 39, 2007, 137-152, Springer US. 758. Paolo Brandimarte and Giulio Zotteri, Introduction to Distribution Logistics, John Wiley and Sons, 2007 759. Ya-yah Zheng and Weng –xin Zhou, An improved GRASP for Traveling Salesman Problem, Computers Engineering and Science, Vol. 30, No 11, 2008 760. Aybars Uğur, Serdar Korukoğlu, Ali Ζalıskan, Muhammed Cinsdikici, Ali Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009. 761. Waldemar Pereira Mathias Neto and José Roberto Sanches Mantovani, Restauração De Redes De Distribuição De Grande Porte Através De Algoritmo GRASP Dedicado, 41 Symposio Brazileiro de Pesquisa Operacional, Porto Seguro 1-4 September 2009, Brazil 762. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4, 2009 763. J. Joshua Thomas and Choy Chee Ken, Process visualization to solve the travelling salesman problem, Proceedings of the 3rd International Symposium on Visual Information Communication, 2010, ISBN: 978-1-4503-0436-8 doi:10.1145/1865841.1865858 764. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI 10.1109/GCIS.2010.171, 335-339 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 88 765. Thomas, J.J., Choy Chee Ken, Leow, A., An interactive approach to solve the Travelling Salesman Problem. 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2010 DOI: 10.1109/ICCIT.2010.5711146 Publication Year: 2010 , Page(s): 710 – 715 766. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade Federal de Minas Gerais, May 2011 767. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based on Chemical Reaction Optimization and Lin-Kernighan Local Search for the Traveling Salesman Problem, 2011 Seventh International Conference on Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 15181521. 768. Saeed Shahrivari, Mohsen Sharifi, Task-Oriented Programming: A Suitable Programming Model for Multicore and Distributed Systems, 10th International Symposium on Parallel and Distributed Computing, Cluj Napoca, Cluj Romania, 06-08 July 2011, ISBN: 978-0-7695-4540-0 769. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model Based on MAS, Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-64225188-7_62 770. GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer 771. Ritzinger, U., Puchinger, J. , Hybrid metaheuristics for dynamic and stochastic vehicle routing, Studies in Computational Intelligence 434 , pp. 77-95, 2013 772. Bahriye Akay, Emre Aydogan, Levent Karacan, 2-opt based artificial bee colony algorithm for solving traveling salesman problem, 2nd World Conference on Information Technology (WCIT-2011), 1 (2012), 666-672. 773. Faisal Amri, Erna Budhiarti Nababan, Mohammad Fadly Syahputra, Artificial Bee Colony Algorithm untuk Menyelesaikan Travelling Salesman Problem, JURNAL DUNIA TEKNOLOGI INFORMASI Vol. 1, No. 1, (2012) 8-13 774. M. Rajabi Bahaabadi, A. Shariat Mohaymany, and M. Babaei, AN EFFICIENT CROSSOVER OPERATOR FOR TRAVELING SALESMAN PROBLEM, International Journal of Optimization in Civil Engineering, 2012, 2(4), 607-619 775. Everton Santi, Uma Abordagem Hybrida Para O Problema De Selecao de Fornecedores em Cadeias de Suprimentos, Mestre em Engenharia de Producao, Universidado Federal do Rio Grande do Norte, Rio de Janeiro, Brazil, 2012 776. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay and delay variation for Rendezvous Point selection in PIM-SM multicast routing, Journal of Theoretical and Applied Information Technology 57 (2) , pp. 235-243, 2013 777. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete gravitational search algorithm for solving combinatorial optimization problems, Information Sciences 258 , pp. 94-107, 2014 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 89 778. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay and delay variation for Rendezvous Point selection in PIM-SM multicast routing, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), 28-30 Oct. 2013, 481 – 487, Compiegne, France, DOI: 10.1109/BWCCA.2013.84 779. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay and delay variation for core selection in shared tree based multicast routing protocols, 2013 Third International Conference on Innovative Computing Technology (INTECH), 29-31 Aug. 2013, London, DOI: 10.1109/INTECH.2013.6653696 780. Baddi, Y., El Kettani, M.D.E.-C., Qos-based parallel GRASP algorithm for RP selection in PIM-SM multicast routing and mobile IPV6, International Review on Computers and Software, 9 (7), pp. 1271-1281, 2014 781. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete gravitational search algorithm for solving combinatorial optimization problems, Information Sciences, 258, pp. 94-107, 2014 The paper ―A Hybridized Particle Swarm Optimization with Expanding Neighborhood Topology for the Feature Selection Problem‖, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, pp. 37–51, ©Springer-Verlag Berlin Heidelberg 2013‖ is cited by: 782. Lim, W.H., Mat Isa, N.A., Particle swarm optimization with increasing topology connectivity. Engineering Applications Artifficial Intelligence (2014), 27, 80-102 783. Lim, W.H., Mat Isa, N.A., An adaptive two-layer particle swarm optimization with elitist learning strategy, Information Sciences 273 (2014) 49–72 784. Lim, W.H., Mat Isa, N.A., Bidirectional teaching and peer-learning particle swarm Optimization, Information Sciences 280 (2014) 111–134 785. Yong Zhang, Changhong Xia, Dunwei Gong, and Xiaoyan Sun, Multiobjective PSO Algorithm for Feature Selection Problems with Unreliable Data, Y. Tan et al. (Eds.): ICSI 2014, Part I, LNCS 8794, pp. 386–393, 2014. The paper ―Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem‖, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Editors Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim, Series on Adaptation, Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369, 2011‖ is cited by: 786. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21. 787. Thibaut VIDAL, Approches generales de resolution pour les problems multiattributs de tournees de vehicules et confection d'horaires, Universite de Montreal & Universite de Technologie de Troyes, These presentee en vue de l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013 788. Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyperheuristic for combinatorial optimization problems, IEEE Transactions on Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 90 The paper ―A Bumble bees mating optimization algorithm for global unconstrained optimization problems, Nature Inspired Cooperative Strategies for Optimization NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.), Springer-Verlag Berlin, 305-318‖ is cited by: 789. Konrad Diwold, Andrej Aderhold, Alexander Scheidler, Martin Middendorf, Performance evaluation of artificial bee colony optimization and new selection schemes, Memetic Computing, (2011), 3, 3, 149-162. 790. Celik, Y., Ulker, E. , An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization, The Scientific World Journal 2013 , art. no. 370172, 2013 The paper ―A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for Clustering‖, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΗ) 5572, E. Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, 2009‖ is cited by: 791. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews, (2011), 36, 3, 179-204. 792. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik und Informatik Institut für Informatik, MSc Thesis, September 2010 793. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013 The paper ―Metaheuristic Algorithms for the Vehicle Routing Problem, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_366, 2055 – 2061, Springer, 2009‖ is cited by: 794. Stanley Murairwa, Engku Muhammad Nazri, How to Measure Heuristic Performance Consistency, European Journal of Scientific Research ISSN 1450-216X Vol.46 No.3 (2010), pp.363-377, © EuroJournals Publishing, Inc. 2010 The paper ―Heuristic and metaheuristic algorithms for the traveling salesman problem, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-747590_262, 1499 – 1506, Springer, 2009‖ is cited by: 795. Jungyun Bae and Sivakumar Rathinam, Approximation algorithms for multiple terminal, Hamiltonian path problems, Optimization Letters, (2012), 6, 1, 69-85. 796. Sai Yadlapalli, Sivakumar Rathinam and Swaroop Darbha, 3-Approximation algorithm for a two depot, heterogeneous traveling salesman problem, Optimization Letters, (2012), 6, 1, 141-152. The paper ―Location Routing Problem‖, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_345, 1919 – 1925, Springer‖ is cited by: Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 91 797. Liao Xin-Lan; Ting, Chuan-Kang; An evolutionary approach for the selective pickup and delivery problem, 2010 IEEE Congress on Evolutionary Computation (CEC), Digital Object Identifier: 10.1109/CEC.2010.5586360 Publication Year: 2010, Page(s): 1 - 8 798. Liao Xin-Lan; Ting, Chuan-Kang; Evolutionary algorithms using adaptive mutation for the selective pickup and delivery problem 2012 IEEE Congress on Evolutionary Computation (CEC), Publication Year: 2012, Page(s): 1 - 8 The paper ―A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP, DaWaK 2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195, 2008‖ is cited by: 799. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews, (2011), 36, 3, 179-204. 800. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013 The paper ―A Hybrid Clustering Algorithm based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure, Learning and Intelligence Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313, V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152, 2008‖ is cited by: 801. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85. 802. Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Mihaela Dinsoreanu, Tudor David, and Vlad Acretoaie, Semantic Web Service Clustering for Efficient Discovery Using an Ant-Based Method, M. Essaaidi et al. (Eds.): Intelligent Distributed Computing IV, SCI 315, pp. 23–33, Springer-Verlag Berlin Heidelberg 2010 803. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee Optimisation – An Overview and a New Bee Inspired Optimisation Scheme, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327. 804. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik und Informatik Institut für Informatik, MSc Thesis, September 2010 805. Pop, C.B., Chifu, V.R., Salomie, I., Dinsoreanu, M., David, T., Acretoaie, V., Nagy, A., Oprisa, C., Biologically-inspired clustering of semantic Web services. Birds or ants intelligence?, Concurrency Computation Practice and Experience 24 (6) , pp. 619-633 806. Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93, © Springer-Verlag Berlin Heidelberg 2014, Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 92 807. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence and Bio-Inspired Computation, 2013 The paper ―Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007, Studies in Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta (Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, 2008‖ is cited by: 808. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el Problema de P-Mediana Capacitada, Reunion Annual de la Union Matematica, Universidad National del Mar Der Plata, 21-26 September 2009, Argentina. 809. Belén Melián-Batista, J. Marcos Moreno-Vega, Nitesh Vaswani and Rayco Yumar, A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem, Studies in Computational Intelligence, Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), 2009, Vol. 236, pp. 49-60. 810. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85. 811. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por Inteligência De Enxames: Uma Visão Geral, Revista Controle & Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 – 304 812. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el Problema de P-Mediana Capacitada, Noticiero de la Union Matematica Argentina, Vol 46, Junio 2010. 813. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel; Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), DOI: 10.1109/ISABEL.2010.5702845, 2010 , 1 - 7 814. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in Supply Chain Management: A Review of Selected Methods and Applications, in Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI: 10.4018/9781615206339.ch001 815. Marcos Mansano Furlan, Metodos Heuristicos para o problema de dimensionamento de lotes multiestagio com limitacao de capacidade, MSc Thesis, Instituto de Ciencias Matematica e de Computacao, ICMC-USP, Sao Paolo, Brazil, 2011 816. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid approach for the vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2011), doi:10.1016/j.cor.2011.11.013 817. Vahid Azadehgan, M. R. Meybodi, Nafiseh Jafarian and Farshad Jafarieh, Discrete Binary Honey Bees Mating Optimization with Capability of Learning, Communications in Computer and Information Science, 1, Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 818. 819. 820. 821. 822. 823. 824. 93 Volume 250, Computational Intelligence and Information Technology, Part 2, Pages 630-636, Springer, 2011 GAO Gui-bing, ZHANG Guo-jun, HUANG Gang, ZHU Hai-ping, GU Peihua, Solving material distribution routing problem in mixed manufacturing systems with a hybrid multi-objective evolutionary algorithm, J. Cent. South Univ. (2012) 19: 433−442, DOI: 10.1007/s11771−012−1022−5, Springer Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating optimization algorithm for process planning Problem, Journal of Intelligent Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8, Springer Yuan, B., Zhang, C., Lian, K., Shao, X. , A hybrid honey-bees mating optimization algorithm for assembly sequence planning problem, Proceedings - International Conference on Natural Computation, art. no. 6234568 , pp. 1135-1140, 2012 Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid approach for the vehicle routing problem with three-dimensional loading constraints, Computers & Operations Research 40 (2013) 1579–1589 Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle Routing Problem by using an Effective Reactive Bone Route Algorithm, Transportation Research Journal 1 (2012) 51-67 B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms , Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-034041_4, Springer International Publishing Switzerland 2014, 45-80 Kanjana Ruttanateerawichien, Werasak Kurutach, and Tantikorn Pichpibul An Improved Golden Ball Algorithm for the Capacitated Vehicle Routing Problem, L. Pan et al. (Eds.): BIC-TA 2014, CCIS 472, pp. 341–356, 2014. © Springer-Verlag Berlin Heidelberg 2014 The paper ―Cost allocation in Combinatorial Optimization Games, Pareto Optimality, Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247, 2008‖ is cited by: 825. Pearl C. C. Shum, Vincent T.Y. Ng, Multi-Agent System for Shipper‘s Truck Freight Collaboration, Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 978-14577-0387-4/11 ©2011 IEEE 319 - 323 The paper ―A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, 2007‖ is cited by: 826. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews, (2011), 36, 3, 179-204. 827. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 94 The paper ―Heuristic Solutions of Vehicle Routing Problems in Supply Chain Management, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235, 2002‖ is cited by: 828. Zhao, Y.W, Wu, B., Jiang, L., Dong, H.Z., Wang, W.L. Double Populations Genetic Algorithm for Vehicle Routing Problem, Computer Integrated Manufacturing Systems 2004 Vol.10 No.3 p.303-306 829. JIU Rubrico, J. Ota, H. Tamura, M. Akiyoshi, T. Hiqashi, Route Generation for Warehouse Management Using Fast Heuristics, IEEE, 2004 International Conference on Intelligent Robots and Systems 2004, (IROS 2004), 2093 – 2098. 830. A. Bonfill, C. Mendez, A. Espuña and L. Puigjaner. Coordinating Production and Transport Scheduling in SCM through Rigorous and Heuristic - Based Methods, AiChe 2005 Annual Meeting (Cincinati, OH). Conference Proceedings, Omnipress 2005, p. 342-346. 831. A. Bonfill. Proactive management of uncertainty to improve scheduling robustness in process industries, Ph.D. Thesis, Universitat Politechnica of Catalunya, Barcelona, Spain, 2006. 832. Arturo Bezerra Acioli Toscano Filho, Um Ambiente na Web para Otimização do Transporte de Passageiros sob Regime de Fretamento, Ph.D. Thesis, UNIVERSIDA DE FORTALEZA, Brazil, 2006 833. Méndez, C.A., Bonfill, A., Espuña, A., Puigjaner, L.. A rigorous approach to coordinate production and transport scheduling in a multi-site system. A: 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. Elsevier, Amsterdam (Ed. W. Marquardt and C. Pantelides), 2006, p. 2171-2176. 834. Huan Arturo Herrera Ortiz, Desarrollo de una Metodología Basada en Heurísticas para la Solución Integral de Problemas de Asignación de Rutas, Horarios y Cargas en el Proceso de Distribución y Entrega de Productos, MSc Thesis, Instituto Technologico de Cd. Madero, Mexico 835. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Time-Critical Target Assignment for UAVs, M.J. Hirsch et al. (Eds.): Advances in Cooperative Control and Optimization, Lecture Notes in Control and Information Sciences, Vol 369, pp. 265-280, 2007. 836. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Mission Scheduling and Flight Path Selection, IEEE Transactions on Automatic Control, Vol. 52, No. 6, pp. 1119 – 1123, June 2007 837. Dusan Salaj. Vehicle Routing Problem Metody Riesenia, Diplomova Praca, Katedra Informatiky, Fakulta Matematiky, Fyziky and Informatiky Unevirzita Komenskeho, Bratislava, May 2007. 838. Ettiene Pozzobom Lazzeris Simas, Utilizando a Busca Tabu na Resolucao do Problema de Roteamento de Veiculos, MSc Thesis, Universidade do Vale do Rio dos Sinos, 2007. 839. Irwan Hadi Praytino, Pengembangan Model Optimasi Pengangkutan Sampah Di Jakarta Pusat, Ph.D Thesis, Departemen Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Institut Pertanian Bogor, 2007 840. Bonfill, A. Espuña and L. Puigjaner, Decision support framework for coordinated production and transport scheduling in SCM, Computers and Chemical Engineering (2008), 32, 1214-1232 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 95 841. Vanessa de Oliveira Ferreira, Vitória Pureza, UMA EXTENSÏO DA HEURÏSTICA DE CLARKE E WRIGHT PARA DESIGNAÏÏO DE ENTREGADORES EXTRAS EM ROTAS DE VEÏCULOS, XXX ENCONTRO NACIONAL DE ENGENHARIA DE PRODUÇÃO Maturidade e desafios da Engenharia de Produção: competitividade das empresas, condições de trabalho, meio ambiente. São Carlos, SP, Brasil, 12 a15 de outubro de 2010. 842. Pedro Joaquim Oliveira Lopes, Aplicação de Algoritmos Genéticos na Determinação de Circuitos Óptimos de Recolha de Resíduos Sólidos Urbanos, Tese de Mestrado, Departamento de Engenharia Química, 2008, Universidade de Porto, Portugal. 843. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with split delivery and heterogeneous demand, Optimization Letters, DOI 10.1007/s11590-012-0571-8 The paper ―A Honey Bees Mating Optimization Algorithm for the Open Vehicle Routing Problem, GECCO: 2011, Genetic and Evolutionary Computation Conference, 2011‖, is cited by: 844. Vahid Azadehgan, Payam Khanteimouri, Sorayya Akbari, Niusha Ghandehari, A Collaborative Approach for LA-DHBMO, Applied Mathematics, 2012, 3, 1442-1447 doi:10.4236/am.2012.330203 Published Online October 2012 (http://www.SciRP.org/journal/am) 845. Randal S. Olson, David B. Knoester, and Christoph Adami, Critical Interplay Between Density-dependent Predation and Evolution of the Selfish Herd, GECCO’13, July 6–10, 2013, Amsterdam, The Netherlands. Copyright 2013 ACM 978-1-4503-1963-8/13/07 846. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0 The paper ―A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for Clustering‖, 39th International Conference on Computers and Industrial Engineering, 2009‖ is cited by: 847. R.S. Parpinelli and H.S. Lopes, New inspirations in swarm intelligence: a survey, International Journal of Bio-Inspired Computation, Volume 3, Number 1 / 2011, 1 – 16 848. K. Ayan and U. Kılıç, Optimal Güç Akışı Probleminin Çözümü İçin GA, MA ve YAK Algoritmalarının Karşılaştırılmas, 6th International Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ, Turkey 849. Haiyan Zhao, Zhili Pei, Jingqing Jiang, Renchu Guan, Chaoyong Wang;Xiaohu Shi, A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony, Advances in Swarm Intelligence, 2011, 558-565 850. Oleynik, A. Subbotin, S., Bee colony optimization for clustering, Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010, 23-27 Feb. 2010 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 96 851. Wei-Ping Lee and Wan-Ting Cai, A Novel Artificial Bee Colony Algorithm with Diversity Strategy, 2011 Seventh International Conference on Natural Computation, 978-1-4244-9953-3/11/2011 IEEE, 1441-1444 852. Mohammad Ali Shafia, Mohammad Rahimi Moghaddam, Rozita Tavakolian, A Hybrid Algorithm for Data Clustering Using Honey Bee Algorithm, Genetic Algorithm and K-Means Method, Journal of Advanced Computer Science and Technology Research 1 (2011) 110-125 853. K. Ayan, U. Kilic¸, Artificial Bee Colony Algorithm Solution For Optimal Reactive Power Flow, Applied Soft Computing Journal (2012), 12, 5, 14771482. 854. Dervis Karaboga, Beyza Gorkemli, Celal Ozturk, Nurhan Karaboga, A comprehensive survey: artificial bee colony (ABC) algorithm and applications, Artifficial Intelligence Review, (2014), 42, 21-57, DOI 10.1007/s10462-0129328-0 855. W. Wongthatsanekorn, B. Phruksaphanrat, and R.Sangkhasuk, Applying Bee Colony Optimization Heuristic for Make-Pack Problem in Process Manufacturing, Proceedings of the International Multi-Conference of Engineers and Computer Scientists, 2012 Vol II, IMECS 2012, March 1416 2012, Hong Kong, ISBN 978-988-19251-9-0 856. Ayan, K., Kilic, U., Solution of multi-objective optimal power flow with chaotic artificial bee colony algorithm, International Review of Electrical Engineering 6 (3) , pp. 1365-1371 857. Fahad S. Abu-Mouti, Mohamed E. El-Hawary, Overview of Artificial Bee Colony (ABC) Algorithm and Its Applications, 2012 IEEE International Systems Conference (SysCon), 19-22 March 2012 858. Karaboga, D., Gorkemli, B., A quick artificial bee colony -qABC- algorithm for optimization problems, INISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications, art. no. 6247010, 2012 859. Rafael S. Parpinelli, Fábio R. Teodoro and Heitor S. Lopes, A comparison of swarm intelligence algorithms for structural engineering optimization, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2012), Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/nme.4295, Copyright 2012 John Wiley & Sons, Ltd. 860. S.-M. Chen et al., Simulated annealing based artificial bee colony algorithm for global numerical optimization, Applied Mathematics and Computation (2012), 219(8), 3575-3589. 861. Li, X.-B., Liu, L., Ma, K., Cognitive radio spectrum allocation based on discrete artificial bee colony algorithm, Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics 34 (10) , pp. 2136-2141, 2012 862. D.Akila and C.Jayakumar, Link-based Ensemble Approach for Web Information Retrieval Using Honey Bee and K-Means Algorithm, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 11, November 2012 ISSN: 2277 128X, 75-81 863. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of Artificial Bee Colony Algorithm, International Journal of Computers & Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 97 864. Ayan, K., Kiliç, U. , Solution of transient stability-constrained optimal power flow using artificial bee colony algorithm, Turkish Journal of Electrical Engineering and Computer Sciences 21 (2) , pp. 360-372, 2013 865. Bansal, J.C., Sharma, H., Jadon, S.S. , Artificial bee colony algorithm: A survey, International Journal of Advanced Intelligence Paradigms 5 (1-2) , pp. 123-159, 2013 866. Salima Ouadfel, Souham Meshoul, Handling Fuzzy Image Clustering with a Modified ABC Algorithm, International Journal of Intelligent Systems and Applications(IJISA), Vol. 4, No. 12, November 2012, 65-74 867. Liu, T., Zhang, L., Zhang, J., Study of binary artificial bee colony algorithm based on particle swarm optimization, Journal of Computational Information Systems 9 (16) , pp. 6459-6466, 2013 868. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence and Bio-Inspired Computation, 2013 869. ASAJU LA‘ARO BOLAJI, AHAMAD TAJUDIN KHADER, MOHAMMED AZMI AL-BETAR AND MOHAMMED A. AWADALLAH, ARTIFICIAL BEE COLONY ALGORITHM, ITS VARIANTS AND APPLICATIONS: A SURVEY, Journal of Theoretical and Applied Information Technology, 47 (2), 434-459, 2013 870. Hati, A.N. ; Darbar, R. ; Jana, N.D. ; Sil, J., Modified Artificial Bee Colony Algorithm using differential evolution and polynomial mutation for realparameter optimization, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 22-25 Aug. 2013, Mysore, 534-539, DOI: 10.1109/ICACCI.2013.6637228 871. R.J. Kuo, Y.D. Huang, Chih-Chieh Lin, Yung-Hung Wu, Ferani E. Zulvia, Automatic kernel clustering with bee colony optimization Algorithm, Information Sciences 283 (2014) 107–122 872. Dervis Karaboga, Beyza Gorkemli, A quick artificial bee colony (qABC) algorithm and its performance onoptimization problems, Applied Soft Computing 23 (2014) 227–238 The paper ―A Hybrid Honey Bees Mating Optimization Algorithm for the Probabilistic Traveling Salesman Problem, IEEE Congress on Evolutionary Computation (CEC 2009)‖ is cited by: 873. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics and Computation (2010), 216, 1, 125-137. 874. Kang, Q.-M., He, H., Song, H.-M., Deng, R., Task Allocation for Maximizing Reliability of Distributed Computing Systems Using Honeybee Mating Optimization, The Journal of Systems and Software (2010), 83, 11, 21652174. 875. Hasan Jalili. Ahmadreza Amirzadeh, Alireza Noorafkan and Golsoom Jalili, A new evolutionary algorithm based on data sharing concept for solving optimization problems, Scientific Research and Essays Vol. 6(23), pp. 50825090, 16 October, 2011, ISSN 1992-2248, Academic Journals. 876. Mohamed Firdhous, Osman Ghazali, and Suhaidi Hassan, Applying Bees Algorithm for Trust Management in Cloud Computing, E. Hart et al. (Eds.): BIONETICS 2011, LNICST 103, pp. 224–229, 2012. Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 98 877. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating optimization algorithm for process planning Problem, Journal of Intelligent Manufacturing, (2014), 25, 459-472, DOI 10.1007/s10845-012-0696-8, Springer 878. Tomáš Čeleda, OPTIMALIZACE PÁŘENÍM VČELÍ KRÁLOVNY, ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE FAKULTA ELEKTROTECHNICKÁ, MSc. Thesis, Praha 2011 879. Shiliang Luo, XuLu, Lianglun Cheng TSOIA: An efficient node selection algorithm facing the uncertain process for Internet of Things. Journal of Network and Computer Applications (2013), http://dx.doi.org/10.1016/j.jnca.2012.12.015i 880. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic traveling salesman problem with time windows, EURO Journal of Transportation and Logistics (2013) 2:89–107 881. Huang, S.-J., Liu, X.-Z., Su, W.-F., Ou, T.-C., Application of Enhanced HoneyBee Mating Optimization Algorithm to Fault Section Estimation in Power Systems IEEE Transactions on Power Delivery, (Volume:28 , Issue: 3 ), 1944 – 1951, 2013 882. Biao Yuan, Chaoyong Zhang, Xinyu Shao, Zhibin Jiang, An effective hybrid honey bee mating optimization algorithm for balancing mixed-model twosided assembly lines, Computers & Operations Research 53 (2015) 32– 41 883. N. Larbi, F. Debbat, A. Boudghene Stambouli, Multiuser Detection For DSCDMA Systems Using Honeybees Mating Optimization Algorithm, Arab J Sci Eng (2014) 39:4911–4921 DOI 10.1007/s13369-014-1198-0 The paper ―Optimal Structural and Mechanism Design using Topology Optimization, International Conference on Modeling and Simulation 08, 18-20 November 2008, Petra, Jordan‖ is cited by: 884. M. Frantová, P. Štemberk, V. Vala, Application of strut-and-tie model on eccentric columns, ISSN 1392 - 1207. MECHANIKA. 2011. 17(2): 126-131 The paper ―Particle Swarm Optimization Approach for Fuzzy Control of Smart Structures, 6th International Conference on Engineering Computational Technology (ECT 2008)‖ is cited by: 885. Tairidis, G.K., Stavroulakis, G.E., Marinova, D. and Zacharenackis, E., Classical and soft robust control of smart beams, Computational Structural Dynamics and Earthquake Engineering, Papadrakakis et al. (Eds), CRC Press 2009, 165-178 The paper ―Honey Bees Mating Optimization for the Location Routing Problem, IEEE International Engineering Management Conference (IEMC – Europe 2008)‖ is cited by: 886. Shin-Guang Lai, Marriage in Honey Bees Algorithm-Aided Capacitor Placement for Electric Power Distribution Systems, PhD Thesis, National Cheng Kung University, China, 2009 Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 99 887. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por Inteligência De Enxames: Uma Visão Geral, Revista Controle & Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 - 304 888. Tsung-Heng Chen, The study of mobile sink movement scheduling optimization in wireless sensor networks, MSc Thesis, National Cheng Kung University, China, 2010 889. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel; Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), DOI: 10.1109/ISABEL.2010.5702845, 2010 , 1 - 7 890. Karaoglan I, Altiparmak F. A memetic algorithm for the capacitated locationrouting problem with mixed backhauls. Computers and Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.009i 891. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A solution method for a twolayer sustainable supply chain distribution model, Computers and Operations Research (2014), http://dx.doi.org/10.1016/j.cor.2014.06.015i 892. Sahar Validi, Arijit Bhattacharya, P.J. Byrne, A case analysis of a sustainable food supply chain distribution system—A multi-objective approach, Int. J. Production Economics 152 (2014) 71–87 The paper ―Training Neural Network Based Models Using Trading Related Objective Functions, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta‖ is cited by: 893. Papaconstantis, E 2009, Competitive co-evolution of trend reversal indicators using particle swarm optimisation, MSc dissertation, University of Pretoria, Pretoria The paper ―Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification‖, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 35 - 45, 2006‖ is cited by: 894. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009. 895. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011 The paper ―Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, 2006‖ is cited by: 896. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Βηνγξαθηθό εκείσκα Γξ. Ησάλλε Μαξηλάθε 100 Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain. 897. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image Analysis and Pattern Classification Techniques for Automatic Pap Smear Screening Process, The 2008 International Conference on Embedded Systems and Intelligent Technology February 27-29, 2008, Grand Mercure Fortune Hotel, Bangkok, Thailand. 898. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzybased analysis of microscopic color cervical pap smear images: nuclei detection, International Journal of Computational Intelligence and Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206 DOI: 10.1142/S1469026810002860 899. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009. The paper ―Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search for Feature Selection, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS 2006 Symposium, 25-34, 2006‖ is cited by: 900. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain. 901. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image Analysis and Pattern Classification Techniques for Automatic Pap Smear Screening Process, The 2008 International Conference on Embedded Systems and Intelligent Technology February 27-29, 2008, Grand Mercure Fortune Hotel, Bangkok, Thailand. 902. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzybased analysis of microscopic color cervical pap smear images: nuclei detection, International Journal of Computational Intelligence and Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206 DOI: 10.1142/S1469026810002860 903. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009. 904. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011 905. Luz Helena Camargo Casallas, Classification of squamous cell cervical cytology, Thesis submitted in partial fulfillment of the requirements for the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia 2012