The application of genetic-Tabu algorithm to vehicle routing problem with time window

被引:0
|
作者
Xu Xusong [1 ]
Wei Zhongcheng [1 ]
机构
[1] Wuhan Univ, Econ & Management Sch, Wuhan 430072, Peoples R China
关键词
vehicle routing problem; time windows; genetic algorithm (GA); Tabu search;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
It is well-known that the genetic algorithm has the disadvantage of "premature convergence". In this paper we design a hybrid algorithm based on genetic algorithm and Tabu search to solve the vehicle routing problem with time windows. Our design makes use of the genetic algorithm based the Tabu search crossover operator and Tabu search mutation operator. We test our hybrid algorithm in the practical vehicle routing problem which shows good empirial agreements.
引用
收藏
页码:380 / 387
页数:8
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