A Parallel Particle Swarm Optimization Algorithm

摘要：

Particle swarm optimization algorithm is a newly proposed population -based algorithm. Although efficient in many optimization problems, it may encounter the problem of premature convergence and computational time consumption. In this paper, we attempt to introduce parallel mechanism into PSO and proposes PPSO (Parallel PSO)algorithm. We test the PPSO on four widely known benchmark functions and the experiment results show the efficiency and efficacy of PPSO.

关键词： particle swarm optimization algorithm parallel parallel particle swarm optimization function test

作者: Yan Ma Jun Sun Wenbo Xu

作者单位: Institute of Information Technology, Southern Yangtze University, WuXi, 214122, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 61-64

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）