Fuzzy Parameter Particle Swarm Optimization

摘要：

This paper proposes a new Fuzzy tuned Parameter Particle Swarm Optimization(FPPSO)which remarkably outperforms the standard PSO as well as the previous fuzzy based approaches.Two benchmark functions with asymmetric initial range settings are used to validate the proposed algorithm and compare its performance with that of the other algorithms known as fuzzy based PSO.Numerical results indicate that FPPSO is considerably competitive due to its ability to find the functions’ global optimum as well as its better convergence performance.

作者: P. Yadmellat S.M.A. Salehizadeh M.B. Menhaj

作者单位: Department of Electrical Engineering,Amirkabir University of Tech,Tehran,Iran

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）