文献类型：期刊文献

英文题名：θ-PSO:: a new strategy of particle swarm optimization

作者：Zhong, Wei-min[1,2];Li, Shao-jun[1,2];Qian, Feng[1,2]

机构：[1]E China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Automat Inst, Shanghai 200237, Peoples R China

年份：2008

卷号：9

期号：6

起止页码：786

外文期刊名：JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A

收录：;EI(收录号：20082311305138);WOS:【SCI-EXPANDED(收录号:WOS:000256324100007)】；

语种：英文

外文关键词：particle swarm optimization (PSO); phase angle; benchmark function

摘要：Particle swarm optimization (PSO) is an efficient, robust and simple optimization algorithm. Most studies are mainly concentrated on better understanding of the standard PSO control parameters, such as acceleration coefficients, etc. In this paper, a more simple strategy of PSO algorithm called theta-PSO is proposed. In theta-PSO, an increment of phase angle vector replaces the increment of velocity vector and the positions are decided by the mapping of phase angles. Benchmark testing of nonlinear functions is described and the results show that the performance of theta-PSO is much more effective than that of the standard PSO.