A hybrid algorithm with particle swarm optimization for partner selection problem in virtual enterprise

CORC > 兰州理工大学 > 兰州理工大学 > 学报编辑部

	A hybrid algorithm with particle swarm optimization for partner selection problem in virtual enterprise
	Yao, Yunping; Chen, Huixian; Li, Youtang
	2006
关键词	Virtual Enterprise particle swarm optimization(PSO) simulated annealing(SA) partner selection
页码	386-+
英文摘要	Partner selection is an inherent problem in VE. Minimizing risk in partner selection and ensuring the due date of the project are key to ensure the success of the VE. In this paper, the description of a partner selection problem is introduced. The HPSO with simulated annealing(SA) is proposed to solve the complex combinatorial optimization problems. PSO employs a collaborative population-based search, which is inspired by the social behavior of bird flocking. It combines local search(by self experience) and global search(by neighboring experience), possessing high search efficiency. SA employs certain probability to avoid becoming trapped in a local optimum and the search process can be controlled by the cooling schedule. The hybrid algorithm combines the high speed of PSO with the powerful ability to avoid being trapped in local minimum of SA. Compared with the PSO and SA, the HPSO has better synthetic performance in both the computation speed and optimality. The computation results suggest its potential to solve the practical partner selection and sub project management problems.
会议录	2006 1ST INTERNATIONAL SYMPOSIUM ON PERVASIVE COMPUTING AND APPLICATIONS, PROCEEDINGS
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	Natural Science foundation of GANSU province[ZS042-B25-005][ZS032-B25-013]
WOS研究方向	Computer Science
WOS记录号	WOS:000240859900071
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/38229]
专题	学报编辑部机电工程学院
通讯作者	Yao, Yunping
作者单位	Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Yao, Yunping,Chen, Huixian,Li, Youtang. A hybrid algorithm with particle swarm optimization for partner selection problem in virtual enterprise[C]. 见:.