Research on the Vehicle Routing Problem with Fuzzy Demands

被引：1
|
作者：
Xue, Lian [1 ]
Dai, Xiaoxia [1 ]
机构：
[1] Zhejiang Univ City Coll, Sch Comp & Comp Sci, Hangzhou 310015, Zhejiang, Peoples R China
来源：
NEW TRENDS AND APPLICATIONS OF COMPUTER-AIDED MATERIAL AND ENGINEERING | 2011年 / 186卷
关键词：
Vehicle Routing Problem; Fuzzy Possibility; Fuzzy Simulation; Differential Evolution; Optimization;
D O I：
10.4028/www.scientific.net/AMR.186.570
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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 rang e of the preference number is obtained.
引用
收藏
页码：570 / +
页数：2
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