Particle Swarm Optimization Algorithm Improvement and Application

被引：0
|
作者：
Xiaoli [1 ]
Baojunjie [1 ]
Kuanghang [1 ]
机构：
[1] Chongqing Educ Coll, Dept Comp Sci, Chongqing 400067, Peoples R China
来源：
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 8 | 2010年
关键词：
particle swarm optimization algorithm; dynamic weight aggregation; population diversity; convergence speed;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
in this paper, through the research of the existing particle swarm optimization algorithm and its improved algorithm, a particle swarm optimization algorithm improvement program is proposed, and the experimental results show that this improved algorithm not only does not increase the complexity, but also has greater improvement in the convergence speed and stability comparing with the original algorithm.
引用
收藏
页码：653 / 656
页数：4
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