A New Approach on Particle Swarm Optimization for Multimodal Functions
This paper describes a technique that extends PSO to locate multiple optima on a multimodal functions. In this paper, we present a new algorithm based on clustering particles to identify niches. For that we employ the standard k-means clustering algorithm which can identify the number of clusters adaptively. In each niche we used artificial immune system algorithm to determine the true members of it. Experimental results show that the proposed algorithm can successfully locate all optimum solutions on a small set of test functions during all simulation runs.
Particle swarm optimization Niche Artificial immune system and K-means
Zahra Afsahi MohammadReza Meybodi
Information & Communication Technology Management Systems & Quality V.P.MAPNA Tehran,Iran;Electrical Computer Engineering and Information Technology Department Amirkabir University Tehran,Iran
国际会议
上海
英文
303-308
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）