The Improvement of Particle Swarm Optimization

被引：0
|
作者：
Zhou, Zekun [1 ]
Jiao, Bin [1 ]
机构：
[1] Shanghai Dianji Univ, Shanghai, Peoples R China
来源：
2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2016年
关键词：
PSO; function optimization;
D O I：
暂无
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：
Basic particle swarm optimization (PSO) has disadvantages about premature convergence. In order to solve these problems, this paper proposed an improved particle swarm optimization called DPSO. The velocity formula in basic PSO was divided into two parts and the two learning factors were improved. Experimental results showed that the improved method used in this paper could avoid the premature convergence problem and do well in function optimization.
引用
收藏
页码：373 / 377
页数：5
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