Vehicle routing problem with fuzzy demands and fuzzy travel times

被引：0
|
作者：
Zheng, Yongshuang [1 ]
机构：
[1] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China
来源：
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES | 2005年 / 4卷
关键词：
vehicle routing problem; fuzzy travel time; fuzzy demands; fuzzy simulation; genetic algorithm;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Vehicle routing problem is concerned with finding efficient routes, beginning and ending at a central depot, for a fleet of vehicles to serve a number of customers with demands for some commodity. This paper considers the vehicle routing problem in which the demands and the travel times are assumed to be fuzzy variables. A fuzz, optimization model is designed for fuzzy vehicle routing problem with time window. Moreover, fuzzy simulation and genetic algorithm are integrated to design a. hybrid intelligent algorithm to solve the fuzzy vehicle routing model. Finally, a numerical example is given to show the effectiveness of the algorithm.
引用
收藏
页码：484 / 490
页数：7
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