A Family Particle Swarm Optimization Based on Tree Structure

摘要：

For the independence of particles in original particle swarm optimization (PSO), we had proposed the family PSO (FPSO) previously. To study the relationship between families and set up effective management to the families in the FPSO, a family tree was introduced into the FPSO. Based on the proposed tree structure of FPSO (Tree-FPSO) different tasks could be conveniently assigned to different families according to their places in the family tree. Simulations for six benchmark functions demonstrated the advantage and effectiveness of Tree-FPSO. The experiments also showed that families playing different roles were very important to improve the performance at the convergence speed and this made the PSO higher efficiency.

关键词： Particle swarm optimization(PSO) family tree structure

作者: Zhenzhou An Xinling Shi Junhua Zhang Jin Lu

作者单位: School of Information Science and Engineering, Yunnan University, Kunming, China School of Informati School of Information Science and Engineering, Yunnan University, Kunming, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 83-87

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）