A multiagent genetic particle swarm optimization
Wang, Lianguo1,2; Hong, Yi1; Zhao, Fuqing1; Yu, Dongmei1
2008
会议名称3rd International Symposium on Intelligence Computation and Applications, ISICA 2008
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷号5370 LNCS
页码659-668
会议日期December 19, 2008 - December 21, 2008
会议地点Wuhan, China
出版者Springer Verlag
摘要The efforts of this paper are proposing a multi-agent genetic particle swarm optimization algorithm (MAGPSO) by introducing the multi-agent system to the particle swarm optimization(PSO) algorithm. Through the competition and cooperation operation with its neighbors, the neighborhood random crossing operation within its neighboring area, the mutation operation, and combining the evolutionary mechanism of the PSO algorithm, every individual senses local environment unceasingly, and affects the entire agent grid gradually, so that it enhances its fitness to the environment. This algorithm can maintain the diversity of the swarm effectively, and improve the precision of optimization, and simultaneously, restrain the prematurity phenomenon efficiently. The results of testing three high dimension benchmark function and comparing with some optimization results of other methods illustrate this algorithm has higher optimization performance in the field of high dimension functions optimization. © 2008 Springer Berlin Heidelberg.
关键词Benchmarking Competition Genetic algorithms Intelligent agents Multi agent systems Competition and cooperation Cooperation Function Optimization Functions optimizations Genetic Genetic particle swarm optimizations Multi agent Particle swarm optimization algorithm
DOI10.1007/978-3-540-92137-0_72
收录类别EI
语种英语
EI入藏号20090511883928
EI主题词Particle swarm optimization (PSO)
ISSN03029743
来源库Compendex
分类代码723 Computer Software, Data Handling and Applications - 911.2 Industrial Economics
引用统计
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/116953
专题国际合作处(港澳台办)
作者单位1.Lanzhou University of Technology, Gansu 730030, China;
2.Gansu Agricultural University, Gansu 730070, China
第一作者单位兰州理工大学
推荐引用方式
GB/T 7714
Wang, Lianguo,Hong, Yi,Zhao, Fuqing,et al. A multiagent genetic particle swarm optimization[C]:Springer Verlag,2008:659-668.
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