Improvement of Particle Swarm Optimization

被引：0
|
作者：
Kawakami, K. [1 ]
Meng, Z. [1 ]
机构：
[1] Fukuoka Univ, Dept Elect Engn, Fukuoka, Japan
来源：
PIERS 2009 BEIJING: PROGESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, PROCEEDINGS I AND II | 2009年
关键词：
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：
A new technique titled "Particle Refresh" and a hybridization with conjugate gradient method axe introduced to particle swarm optimization (PSO). The former charges power to inactive particle to improve the recovery ability of PSO after trapping on a local solution, and as a result, it becomes easy to choose suitable values for control-parameters to keep high performance for diverse objective functions. On the other hand, the point of the latter is how to determine the changeover timing between a conjugate gradient method and a PSO algorithm.
引用
收藏
页码：1667 / 1670
页数：4
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