Logistics Center Location Selection Based on the Algorithm of Hybrid Particle Swarm Optimization

被引：3
作者：
Zhi Jun
Liu Jian-yong
Wang Wei
Wu Hai-ping
Gao Jie
机构：
来源：
ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2 | 2010年 / 439-440卷
关键词：
location selection; particle swarm optimization; simulated annealing;
D O I：
10.4028/www.scientific.net/KEM.439-440.429
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
PSO algorithm is apt to appear the phenomenon of search stagnancy. To overcome the phenomenon, it uses the crossover and mutation mechanism of genetic algorithm and thought of simulated annealing for references. It has put forward the hybrid PSO algorithm and applies it to the problem of logistics center location selection, its validity and speediness has been proved through emulation.
引用
收藏
页码：429 / 433
页数：5
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