A Logistics Enterprises Vehicle Scheduling Method Based on Genetic Algorithm

被引：0
|
作者：
Chen, Yan [1 ]
Song, Xiaoliang [1 ]
Han, Xiaowei [1 ]
Wang, Dongzheng [2 ]
机构：
[1] Shenyang Univ, Coll Informat Engn, Shenyang 110044, Peoples R China
[2] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION | 2015年 / 12卷
关键词：
Logistics enterprise; Genetic algorithm; Vehicle scheduling; ROUTING PROBLEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper deals with the genetic algorithm to solve the vehicle scheduling problem of logistics enterprises. It established the mathematical model of vehicle scheduling problem first. Then determined the method of population initialization and the representation of fitness function, in consideration of GA's premature convergence to local values and other defects for genetic algorithm itself, this paper improved the genetic algorithm mutation probability. Finally, it carried out the simulation experiment, and the result shows that the improved genetic algorithm has a good effect on improving the algorithm quality and search efficiency.
引用
收藏
页码：820 / 823
页数：4
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