Journal
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Volume 231, Issue 1, Pages 302-310Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cam.2009.02.015
Keywords
Vehicle routing problem; Uncertainty; Fuzzy sets; Stochastic simulation; Differential evolution; Optimization
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Funding
- Specialized Research Fund for Doctoral Program of Higher Education of China [20050532029]
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In this paper, the vehicle routing problem with fuzzy demands (VRPFD) is considered, and a fuzzy chance constrained program model is designed, based on fuzzy credibility theory. Then stochastic simulation and differential evolution algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy chance constrained program model. Moreover, the influence of the dispatcher preference index on the final objective of the problem is discussed using stochastic simulation, and the best value of the dispatcher preference index is obtained. (C) 2009 Elsevier B.V. All rights reserved.
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