Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation
- 1 March 2007
- journal article
- Published by Elsevier BV in European Journal of Operational Research
- Vol. 177 (2), 813-839
- https://doi.org/10.1016/j.ejor.2005.12.029
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A simple and effective evolutionary algorithm for the vehicle routing problemComputers & Operations Research, 2004
- Vehicle capacity planning system: A case study on vehicle routing problem with time windowsIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2003
- Comparing neuro-dynamic programming algorithms for the vehicle routing problem with stochastic demandsComputers & Operations Research, 2000
- Heuristic approaches to vehicle routing with backhauls and time windowsComputers & Operations Research, 1996
- The fuzzy set theory approach to the vehicle routing problem when demand at nodes is uncertainFuzzy Sets and Systems, 1996
- Stochastic vehicle routingEuropean Journal of Operational Research, 1996
- Modeling vehicle routing with uncertain demands as a stochastic program: Properties of the corresponding solutionEuropean Journal of Operational Research, 1993
- Stochastic vehicle routing with modified savings algorithmEuropean Journal of Operational Research, 1986
- A computational comparison of algorithms for the inventory routing problemAnnals of Operations Research, 1985
- Stochastic vehicle routing: A comprehensive approachEuropean Journal of Operational Research, 1983