A Modified Two Sub-swarms Exchange Particle Swarm Optimization

摘要：

Particle swarm optimization and its modification for two sub-swarms exchange appear premature convergence for complex optimization problem, because particles performance becomes same in seeking later period. Therefore, in this paper, a modified two sub-swarms exchange particle swarm optimization is proposed. The particle swarm is divided into two identical subswarms, with the first adopting the standard PSO model, and the second adopting the Cognition Only model. When the two sub-swarms evolve steady states independent, a certain amount of particles of the second sub-swarm that are extracted randomly exchange with the worst fitness value of particles of the first sub-swarm, which can increase the information exchange between the particles, improve the diversity of population and mefiorate the convergence of algorithm. Four complex testing functions results indicate that the proposed algorithm has greater globally optimal solution, better optimal efficiency and better performance than PSO and TSE-PSO in many aspects.

关键词： Particle Swarm Optimization Model Exchange Optimization

作者: Jia Zhao Li Lü Hui Sun

作者单位: School of Information Engineering Nanchang Institute of Technology NanChang, China School of Informa School of Information Engineering Nanchang Institute of Technology NanChang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 180-183

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）