A New Particle Swarm Optimization Based on Grey Self-finkage Analysis

摘要：

A new particle swarm optimization based on grey self-linkage analysis was presented.In order to overcome premature of standard particle swarm optimization,the proposed algorithm considered the interrelations between problem dimensions,which perform more frequent simultaneous updates on subsets of particle position components that are strongly linked and using new speed location update formula.Compared with other improved PSO algorithms,the testing results indicate that the new algorithm has better probability of convergence rate and accuracy for single-mode functions.The further work is how to improve the global searching performance effectively to multimodal problems.

关键词： Particle Swarm Optimization Topology Grey Self-linkage Improved Speed Strategy

作者: Yibao Chen Jiaguang Liu Miao Zhou Zhong Guo

作者单位: School of Electromechanical Automobile Engineering Yantai University Yantai,264005,Shandong Province,China

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: 223-227

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）