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Bio-inspired Algorithms for the Vehicle Routing Problem 2009

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  - series/sci/2009-161
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Francisco Baptista Pereira, Jorge Tavares:
Bio-inspired Algorithms for the Vehicle Routing Problem. Studies in Computational Intelligence 161, Springer 2009, ISBN 978-3-540-85151-6
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  - series/sci/Potvin09
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Jean-Yves Potvin:
A Review of Bio-inspired Algorithms for Vehicle Routing. 1-34
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  - series/sci/Prins09
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Christian Prins:
A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem. 35-53
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  - series/sci/RepoussisTI09
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Panagiotis P. Repoussis, Christos D. Tarantilis, George Ioannou:
An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows. 55-75
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  - series/sci/Ombuki-BermanH09
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Beatrice M. Ombuki-Berman, Franklin Hanshar:
Using Genetic Algorithms for Multi-depot Vehicle Routing. 77-99
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  - series/sci/CheongT09
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Chun Yew Cheong, Kay Chen Tan:
Hybridizing Problem-Specific Operators with Meta-heuristics for Solving the Multi-objective Vehicle Routing Problem with Stochastic Demand. 101-129
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  - series/sci/HemertP09
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Jano I. van Hemert, Johannes A. La Poutré:
Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation. 131-149
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  - series/sci/Esparcia-AlcazarCGMGAS09
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Anna Esparcia-Alcázar, Manuel Cardós, Juan Julián Merelo Guervós, Anaís Martínez-García, Pablo García-Sánchez, Eva Alfaro-Cid, Ken Sharman:
EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem. 151-172
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  - series/sci/VelascoCDGP09
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Nubia Velasco, Philippe Castagliola, Pierre Dejax, Christelle Guéret, Christian Prins:
A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter. 173-190
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  - series/sci/BeniaminyYZZ09
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Israel Beniaminy, Dovi Yellin, Uzi Zahavi, Marko Zerdin:
When the Rubber Meets the Road: Bio-inspired Field Service Scheduling in the Real World. 191-213

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