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Solving the Mixed Backhauling Vehicle Routing: Problem with Ants
Wassan, Niaz A.; Salhi, Said; Nagy, Gábor; Wassan, Naveed - In: International Journal of Energy Optimization and … 2 (2013) 2, pp. 62-77
The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This distribution problem seems to suffer from a lack of published work even though it has immense practical applicability especially within logistic systems. Some enhancements to the basic ant system...
Persistent link: https://www.econbiz.de/10011140658
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The vehicle routing problem with divisible deliveries and pickups
Nagy, Gábor; Wassan, Niaz A.; Speranza, Maria Grazia; … - In: Transportation science : a journal of the Institute for … 49 (2015) 2, pp. 271-294
Persistent link: https://www.econbiz.de/10011287510
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An efficient heuristic algorithm for the alternative-fuel station location problem
Tran Trung Hieu; Nagy, Gábor; Nguyen, Thu Ba T.; … - In: European journal of operational research : EJOR 269 (2018) 1, pp. 159-170
Persistent link: https://www.econbiz.de/10011864242
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The vehicle routing problem with restricted mixing of deliveries and pickups
Nagy, Gábor; Wassan, Niaz A.; Salhi, Saïd - In: Journal of scheduling 16 (2013) 2, pp. 199-213
Persistent link: https://www.econbiz.de/10009761286
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A reactive tabu search meta-heuristic for the vehicle routing problem with divisible deliveries and pickups
Wassan, Niaz A.; Nagy, Gábor - 2013
Persistent link: https://www.econbiz.de/10010356010
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The vehicle routing problem with deliveries and pickups : modelling issues and solution approaches
Wassan, Niaz A.; Nagy, Gábor - 2013
Persistent link: https://www.econbiz.de/10010356011
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Opportunities and threats arising from expanding collaboration within supply chain distribution frameworks of SME manufacturers
Wassan, Niaz A.; Nagy, Gábor; Thron, Thomas - 2013
Persistent link: https://www.econbiz.de/10010356013
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A heuristic method for the vehicle routing problem with mixed deliveries and pickups
Wassan, Niaz A.; Nagy, Gábor; Ahmadi, Samad - In: Journal of scheduling 11 (2008) 2, pp. 149-161
Persistent link: https://www.econbiz.de/10003713796