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