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

doi:10.1109/ICMLC.2006.258845

IR > 计算机与通信学院

	A hybrid self-adaptive PSO algorithm and its applications for partner selection in holonic manufacturing system (HMS)
	Zhao, Fu-Qing 1; Zhang, Qiu-Yu1 ; Yang, Ya-Hong 2
	2006
会议名称	2006 International Conference on Machine Learning and Cybernetics
会议录名称	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
卷号	2006
页码	2536-2541
会议日期	August 13, 2006 - August 16, 2006
会议地点	Dalian, China
出版者	Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
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. © 2006 IEEE.
关键词	Adaptive algorithms Decision making Genetic algorithms Mathematical models Network protocols Search engines Holonic manufacturing system Particle swarm optimization (PSO) Partner selection
DOI	10.1109/ICMLC.2006.258845
收录类别	EI
语种	英语
EI入藏号	20071210502510
EI主题词	Problem solving
来源库	Compendex
分类代码	723.4 Artificial Intelligence - 912.2 Management - 921 Mathematics
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116958
专题	计算机与通信学院
作者单位	1.School of Computer and Communication Engineering, Lanzhou University of Technolog, Lanzhou 730050, China; 2.School of Civil Engineering, Lanzhou University of Technolog, Lanzhou 730050, 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 manufacturing system (HMS)[C]:Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States,2006:2536-2541.