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人工鱼群算法研究综述
引用本文:邹康,刘婷,鲍韦韦,张立毅,肖志涛. 人工鱼群算法研究综述[J]. 山西电子技术, 2012, 0(2): 92-93
作者姓名:邹康  刘婷  鲍韦韦  张立毅  肖志涛
作者单位:[1]天津工业大学电子与信息工程学院,天津300387 [2]天津大学电子信息工程学院,天津300072 [3]天津商业大学信息工程学院,天津300134
摘    要:人工鱼群算法是一种新型的群体智能随机全局优化算法。在阐述鱼群算法的基本原理的同时,综述了近年来鱼群算法的发展历程及其改进算法,分析了其应用领域,并提出了今后的研究方向。

关 键 词:鱼群算法  基本原理  改进算法  发展应用  研究趋势

Research on Artificial Fish Swarm Algorithm
Zou Kang,Liu Ting,Bao Wei-wei,Zhang Li-yi,Xiao Zhi-tao. Research on Artificial Fish Swarm Algorithm[J]. Shanxi Electronic Technology, 2012, 0(2): 92-93
Authors:Zou Kang  Liu Ting  Bao Wei-wei  Zhang Li-yi  Xiao Zhi-tao
Affiliation:1.School of Electronics and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,China; 2.School of Electronic and Information Engineering,Tianjin University,Tianjin 300072,China; 3.School of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China)
Abstract:Artificial fish swarm algorithm(AFSA) is a new stochastic global optimization of swarm intelligence.The fundamentals of AFSA is shown in this paper,the improved technology and research for the existing problems in AFSA are introduced copiously as well.Finally,the analysis of its applications is shown and the direction for the future research is pointed out.
Keywords:artificial fish swarm algorithm  fundamentals  improved algorithm  development and application  research trends
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