期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2015
卷号：6
期号：4
页码：486-492
出版社：IJECCE
摘要：Multimodal optimization or finding more than one optimum is needed in many scientific and engineering application fields. Niching methods of particle swarm optimization has been successfully applied in many areas since it is a powerful, yet simple population based optimization strategy. A comprehensive analysis of neighborhood selection and information sharing mechanism was given from two aspects including topology technique and measure criterion. Moreover, most of existing niching particle swarm optimization algorithms which include SPSO, NichePSO, ARPSO, r2PSO, FER-PSO, ANPSO, FIPS-PSO, nbestPSO etc were described and compared. Furthermore, advantages and disadvantages existing in these algorithms were pointed out. Therefore, some ideas to improve the performance of niching particle swarm optimization algorithms were proposed.
