A hybrid self-adaptive PSO algorithm and its applications for partner selection in holonic manufacuring system (HMS)

	A hybrid self-adaptive PSO algorithm and its applications for partner selection in holonic manufacuring system (HMS)
	Zhao, Fu-Qing 1; Zhang, Qiu-Yu 1; Yang, Ya-Hong 2
	2006
关键词	particle swarm optimization (PSO) genetic algorithm (GA) partner selection holonic manufacturing system
页码	2536-+
英文摘要	Partner selection is a very popular problem in the research of HMS, the key step in the formation of HMS is the decision making on partner selection. In this paper, collaboration process between holons is modeling with contract net protocol; and an activity network based multi-objective partner selection model is put forward. Then a new hybrid self-adaptive PSO (HAMPSO) algorithm based on particle swarm optimization (PSO) and genetic algorithm (GA) is proposed to solve the multi-objective problem. PSO employs a collaborative population-based search, which is inspired by the social behavior of bird flocking. GA provides the optimization parameter of PSO to get a good performance during the hybrid search process. HAMPSO implements easily and reserves the generality of PSO and GA. The hybrid algorithm combines the high speed of PSO with the powerful ability to avoid being trapped in local minimum by velocity mutation. We compare the hybrid algorithm to both the standard PSO and GA model. The simulation results show that the proposed model and algorithm are effective. Moreover, such HAMPSO can be applied to many combinatorial optimization problems by simple modification.
会议录	PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	[3ZS042-B25-005] ; [ZS032-B25-013]
WOS研究方向	Automation & Control Systems ; Computer Science
WOS记录号	WOS:000241452303095
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/38219]
专题	计算机与通信学院土木工程学院国际合作处（港澳台办）
通讯作者	Zhao, Fu-Qing
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun Engn, Lanzhou 730050, Peoples R China 2.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Fu-Qing,Zhang, Qiu-Yu,Yang, Ya-Hong. A hybrid self-adaptive PSO algorithm and its applications for partner selection in holonic manufacuring system (HMS)[C]. 见:.