Faster and More Stabile——Asymmetric Bidirectional Weighting Topologies on PSO
A new algorithm, called the asymmetric fully informed particle swarm optimization (AFIPSO), is proposed. It mends the FIPSO algorithm by newly constructing weighting functions, which realizes asymmetric influence between two particles. Then six weighting functions and their four cross combinations are tested. The simulation results have shown that the performance of the algorithm with the compounding-form of weighting functions is far better than the primary version, faster and more stabile in convergence, especially with perfect convergent rate.
Tang Puying Fang Jun
School of Opto-electronic Information University of Electronic Science and Technology of China Chengdu, Sichuan, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
2088-2092
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)