A clustering based niching particle swarm optimization for locating multiple optimal solutions

摘要：

A clustering based niching particle swarm optimization is constructed in this paper by using a clustering method named density based clustering. l-best PSO and a clustering algorithm is processed synchronously in this new algorithm.When the number of particles in a cluster reach the set least particle number of a subswarm,a niching is formed based on this cluster.This algorithm can conquer the disadvantage of NichePSO by forming niching with different size and shape.

关键词： clustering multl-species strategy niching particle swarm optimization

作者: Minghui Zhou Junnian Wang

作者单位: Department of Information and Electrical Engineering Hunan University of Science and Technology Xian Knowledge Grid Laboratory Hunan University of Science and Technology Xiangtan, Hunan Province, 41120

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 211-214

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）