Bio-inspired Algorithms for the Vehicle Routing Problem 2009

• 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