Extended particle-swarm optimization algorithm

	Extended particle-swarm optimization algorithm
	Mo, Si-Min 1,2; Zeng, Jian-Chao 1; Xie, Li-Ping 1
	2012-06-01
发表期刊	Kongzhi Lilun Yu Yingyong/Control Theory and Applications
ISSN	10008152
卷号	29 期号:6 页码:811-816
摘要	The interaction among particles is a key factor affecting the performance of particle swarm optimization (PSO) algorithm. To overcome the premature convergence, an extended particle swarm optimization (EPSO) algorithm is proposed, in which the interaction mechanism among particles is redefined based on the idea of attraction and repulsion forces in Artificial Physics. Furthermore, the rule of attraction and repulsion among particles is defined by comparing particle fitness values. To look for the global optimum, each particle randomly moves along the direction of the resultant force produced by all particles. Simulation results show that EPSO algorithm effectively improves the global performances of other related algorithms.
关键词	Control engineering Artificial physics Extended particle swarm optimization Global performance Interaction mechanisms Particle swarm optimization algorithm Pre-mature convergences Related algorithms Repulsion force
收录类别	EI
语种	中文
出版者	South China University of Technology
EI入藏号	20123515381323
EI主题词	Particle swarm optimization (PSO)
EI分类号	723 Computer Software, Data Handling and Applications
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/111184
专题	兰州理工大学
作者单位	1.Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan Shanxi 030024, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou Gansu 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Mo, Si-Min,Zeng, Jian-Chao,Xie, Li-Ping. Extended particle-swarm optimization algorithm[J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications,2012,29(6):811-816.
APA	Mo, Si-Min,Zeng, Jian-Chao,&Xie, Li-Ping.(2012).Extended particle-swarm optimization algorithm.Kongzhi Lilun Yu Yingyong/Control Theory and Applications,29(6),811-816.
MLA	Mo, Si-Min,et al."Extended particle-swarm optimization algorithm".Kongzhi Lilun Yu Yingyong/Control Theory and Applications 29.6(2012):811-816.