Extended particle-swarm optimization algorithm

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	Extended particle-swarm optimization algorithm
	Mo, Si-Min 1,2; Zeng, Jian-Chao 2; Xie, Li-Ping 2
刊名	Kongzhi Lilun Yu Yingyong/Control Theory and Applications
	2012-06-01
卷号	29 期号:6 页码:811-816
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
ISSN号	10008152
英文摘要	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.
语种	中文
出版者	South China University of Technology
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111184]
专题	兰州理工大学
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou Gansu 730050, China 2.Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan Shanxi 030024, China;
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.