文献类型：期刊文献

英文题名：Cultural algorithm based on particle swarm optimization for partner selection of virtual enterprise

作者：Zhou, Wei[1]; Bu, Yan-Ping[2]

机构：[1] School of Business, East China University of Science and Technology, Shanghai, 200237, China; [2] School of Technology, Shanghai Jiaotong University, Shanghai, 201101, China

年份：2012

起止页码：2238

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20130716023798)

语种：英文

外文关键词：Virtual corporation

摘要：A novel cultural algorithm based on particle swarm optimization (PSO) algorithm was proposed in this paper. After analyzing the partner selection problems of virtual enterprise, the CPSO algorithm was presented to solve enterprise alliance problem within reasonable time and cost. There are certain number partners of each sub-task in virtual enterprise environment. The objective is, by selecting the optimal combination of partners, to minimize project's completion time and project's total cost. We tested the CPSO algorithm against the PSO method. Simulation results demonstrate that it can be superior to the regular PSO. We also tested the CPSO algorithm with the exhaustion method to show the algorithm's efficiency. ? 2012 Chinese Assoc of Automati.