A Combined Local Best Particle Swarm Optimization Algorithm

被引：0
|
作者：
Lian, Zhigang [1 ]
Gao, Yejun [1 ]
Ji, Chunlei [1 ]
Wang, Xuewu
机构：
[1] Shanghai DianJi Univ, Sch Elect & Informat Engn, Shanghai 201306, Peoples R China
来源：
MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3 | 2013年 / 333-335卷
关键词：
Particle swarm optimization; combined local best; algorithm;
D O I：
10.4028/www.scientific.net/AMM.333-335.1388
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper proposes a combined local best particle swarm optimization algorithm (CLBPSO) which combined with local optimum particle information. And it gives three ways of combination local information. Experimental results indicate that the CLBPSO algorithm improves the search performance on the benchmark functions significantly. On the basis of experimental results, we will also compare these three methods with each other to find the best one.
引用
收藏
页码：1388 / +
页数：2
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