Research on the Vehicle Routing Problem with Fuzzy Demands

Abstract:

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In this paper, 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-maker’s 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.

Info:

Periodical:

Edited by:

Wenya Tian and Linli Xu

Pages:

570-575

DOI:

10.4028/www.scientific.net/AMR.186.570

Citation:

L. Xue and X. X. Dai, "Research on the Vehicle Routing Problem with Fuzzy Demands", Advanced Materials Research, Vol. 186, pp. 570-575, 2011

Online since:

January 2011

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Price:

$35.00

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