文章基本信息

标题：A Survey on New Optimization Algorithm called Multi Frequency Vibration PSO and its Test Cases
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作者：V.Sowjanya ; T.Kranthi Kumar ; S.Sridevi 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：11785
DOI：10.15680/IJIRCCE.2017.0506139
出版社：S&S Publications
摘要：Particle Swarm Optimization (PSO) is an individual from the Swarm Intelligence group of populacebased enhancers. The Particle Swarm Optimization (PSO) calculation, as one of the most recent calculations motivatedfrom the nature, was presented in the mid1990s. PSO shows signs of improvement brings about a quicker, lessexpensive route contrasted and different strategies. In this paper presentation of PSO calculation is given, which istrailed by the study of major PSO based calculations. The PSO have a few points of interest and applications which aregiven in this paper. As needs be, different techniques, points of interest and application are examined of the PSOAlgorithm.
关键词：Diversity; Optimization; mutation; neural nets; particle swarm optimization (PSO). ACO; Wireless;Network