Elite Particle Swarm Optimization with Mutation

被引：33
|
作者：
Jiao Wei [1 ]
Liu Guangbin [1 ]
Liu Dong [1 ]
机构：
[1] Xian Res Inst Hi Tech, Xian 710025, Shaanxi, Peoples R China
来源：
7TH INTERNATIONAL CONFERENCE ON SYSTEM SIMULATION AND SCIENTIFIC COMPUTING ASIA SIMULATION CONFERENCE 2008, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ASC-ICSC.2008.4675471
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
An improved algorithm for Particle Swarm Optimization (PSO) named Elite Particle Swarm Optimization with Mutation (EPSOM) is proposed In this paper. Elite particles and bad particles are distinguished from the swarm after some initial Iteration steps. Bad particles are replaced with the same number of elite particles, and a new swarm is generated. To avoid losing diversity of the swarm and to decrease the risk of trapping In local optimum, mutation operation is introduced In evolution process. The results of several simulations for different benchmark functions Illustrate that EPSOM algorithm has the ability of local exploitation and global exploration. EPSOM algorithm outperforms the Linearly Decreasing Weight Particle Swarm Optimization (LDW-PSO) and Random Mutation Particle Swarm Optimization (RM-PSO) in respects of calculation accuracy and convergence.
引用
收藏
页码：800 / 803
页数：4
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