Research of Distribution Center Location Problem Based on Improved Genetic Algorithm

被引：0
|
作者：
Yang, Shu-xia [1 ]
Cui, Dan [1 ]
机构：
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
来源：
3RD INTERNATIONAL CONFERENCE ON EDUCATION REFORM AND MODERN MANAGEMENT, 2016 | 2016年
关键词：
Distribution center; Location; Improved genetic algorithm;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
Logistics Distribution Center occupies an important position in the entire logistics system, and has strategic significance in logistics system optimization. By reading some information and practical research, basing on the analysis of the existing distribution center location algorithm, we proposed an improved genetic algorithm by hybrid coding binary and floating-point. The algorithm not only optimize the population initialization function, but also make some appropriate improvements on genetic manipulation, which transform a distribution center location decision variables into 0-1 variables, greatly improving operational efficiency. Finally, putting the improved genetic algorithm into an actual numerical example shows that the algorithm can better solve the problem of distribution center location.
引用
收藏
页码：146 / 150
页数：5
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