文章基本信息

标题：Improvement on PSO with Dimension Update and Mutation
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作者：Xu, Hui ; Yang, Yongguo ; Mao, Lei 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2013
卷号：8
期号：4
页码：827-833
DOI：10.4304/jsw.8.4.827-833
语种：English
出版社：Academy Publisher
摘要：Sub-dimension particle swarm optimization(s-dPSO) is proposed based on basic particle swarm optimization (bPSO). Each dimension of particle in s-dPSO is updated in turn. The dimensions with poor diversity would be mutated that is initialized again to improve the diversity of population and get global optimal solution when the algorithm is in the local convergence. Most Benchmark function get good result with s-dPSO which ability of optimization is better than bPSO.
关键词：s-dPSO;dimension;diversity;optimizatio