θ-PSO: a new strategy of particle swarm optimization

被引:0
作者
Zhong Wei-min
Li Shao-jun
Qian Feng
机构
[1] East China University of Science and Technology,State Key Laboratory of Chemical Engineering
[2] East China University of Science and Technology,Automation Institute
来源
Journal of Zhejiang University-SCIENCE A | 2008年 / 9卷
关键词
Particle swarm optimization (PSO); Phase angle; Benchmark function; TP301.6;
D O I
暂无
中图分类号
学科分类号
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 θ-PSO is proposed. In θ-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 θ-PSO is much more effective than that of the standard PSO.
引用
收藏
页码:786 / 790
页数:4
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