A multiagent genetic particle swarm optimization

doi:10.1007/978-3-540-92137-0_72

	A multiagent genetic particle swarm optimization
	Wang, Lianguo 1,2; Hong, Yi 2; Zhao, Fuqing 2; Yu, Dongmei 2
	2008
会议日期	December 19, 2008 - December 21, 2008
会议地点	Wuhan, China
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
卷号	5370 LNCS
DOI	10.1007/978-3-540-92137-0_72
页码	659-668
英文摘要	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.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
语种	英语
ISSN号	03029743
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116953]
专题	国际合作处（港澳台办）
作者单位	1.Gansu Agricultural University, Gansu 730070, China 2.Lanzhou University of Technology, Gansu 730030, China;
推荐引用方式 GB/T 7714	Wang, Lianguo,Hong, Yi,Zhao, Fuqing,et al. A multiagent genetic particle swarm optimization[C]. 见:. Wuhan, China. December 19, 2008 - December 21, 2008.