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Bio-inspired Algorithms for the Vehicle Routing Problem 2009
- 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 - Jean-Yves Potvin:
A Review of Bio-inspired Algorithms for Vehicle Routing. 1-34 - Christian Prins
:
A GRASP × Evolutionary Local Search Hybrid for the Vehicle Routing Problem. 35-53 - Panagiotis P. Repoussis
, Christos D. Tarantilis, George Ioannou:
An Evolutionary Algorithm for the Open Vehicle Routing Problem with Time Windows. 55-75 - Beatrice M. Ombuki-Berman, Franklin Hanshar:
Using Genetic Algorithms for Multi-depot Vehicle Routing. 77-99 - 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 - Jano I. van Hemert
, Johannes A. La Poutré:
Exploiting Fruitful Regions in Dynamic Routing Using Evolutionary Computation. 131-149 - 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 - Nubia Velasco
, Philippe Castagliola, Pierre Dejax, Christelle Guéret
, Christian Prins:
A Memetic Algorithm for a Pick-Up and Delivery Problem by Helicopter. 173-190 - 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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