An Enhanced Particle Swarm Optimization Algorithm

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	An Enhanced Particle Swarm Optimization Algorithm
	Xue-yao Gao; Li-quan Sun; Da-song Sun
	2009
发表期刊	Information Technology Journal
卷号	8 期号:8 页码:1263-1268
摘要	Particle Swarm Optimization (PSO) algorithm is often used for finding optimal solution, but it easily entraps into the local extremum in later evolution period. Based on improved chaos searching strategy, an enhanced particle swarm optimization algorithm is proposed in this study. When particles get into the local extremum, they are activated by chaos search strategy, where the chaos search area is controlled in the neighborhood of current optimal solution by reducing search area of variables. The new algorithm not only gets rid of the local extremum effectively but also enhances the precision of convergence significantly. Experiment results show that the proposed algorithm is better than standard PSO algorithm in both precision and stability.
收录类别	其他
合作性质	其它
关键词	Particle Swarm Local Extremum Chaos Search Optimization Algorithm
语种	中文
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/1340
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Xue-yao Gao,Li-quan Sun,Da-song Sun. An Enhanced Particle Swarm Optimization Algorithm[J]. Information Technology Journal,2009,8(8):1263-1268.
APA	Xue-yao Gao,Li-quan Sun,&Da-song Sun.(2009).An Enhanced Particle Swarm Optimization Algorithm.Information Technology Journal,8(8),1263-1268.
MLA	Xue-yao Gao,et al."An Enhanced Particle Swarm Optimization Algorithm".Information Technology Journal 8.8(2009):1263-1268.

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