文章基本信息

标题：Particle Swarm Optimization with Aging Leader and Challenges for Multiswarm Optimization
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作者：S.Vijayalakshmi ; D.Sudha ; S.Mercy Sigamani 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：3
页码：990-995
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In reality every organism ages and has a limited life span. Aging is important for maintaining diversity. In nature the aging leader become weak which leaves opportunities to other individual to challenge for the leadership position. This paper transplants aging leader and challengers (ALC-PSO) by taking its advantages and proposes Aging leader and challengers (ALC-PSO) in multiswarm. The leader which shows the long leading power attract the swarm toward best position. Otherwise, if the leader of the swarm fail to improve the swarm towards better position the new challengers claim for the leadership. This concept ALC-PSO in multiswarm serves as a mechanism for upgrading a suitable leader to lead the swarm and provides the best optimal solution.
关键词：Aging leader and challengers(ALC); Particle ; swarm optimization(PSO)