Lian Xue
School of Computer and Computing Science, Zhejiang University City College, 310015, Hangzhou, China
ABSTRACT
In this study, the vehicle routing problem with fuzzy demands is considered, and a fuzzy chance constrained programming mathematical model is established based on fuzzy possibility theory. Then fuzzy simulation and differential evolution algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy vehicle routing model. Moreover, under the target that the total driving distance of vehicles is the shortest, the influence of the decision-makers preference on the final objective of the problem is discussed using the method of stochastic simulation, and the rational range of the preference number is obtained.
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How to cite this article
Lian Xue, 2013. Fuzzy Simulation on the Vehicle Routing Problem. Information Technology Journal, 12: 6098-6102.
DOI: 10.3923/itj.2013.6098.6102
URL: https://scialert.net/abstract/?doi=itj.2013.6098.6102
DOI: 10.3923/itj.2013.6098.6102
URL: https://scialert.net/abstract/?doi=itj.2013.6098.6102
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