文献类型：会议论文

中文题名：Cultural Algorithm Based on Particle Swarm Optimization for Partner Selection of Virtual Enterprise

作者：ZHOU Wei;BU Yan-ping

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

会议论文集：The 31st Chinese Control Conference(第三十一届中国控制会议)论文集

会议日期：20120701

会议地点：合肥

主办单位：中国自动化学会;中国系统工程学会

语种：英文

中文关键词：cultural algorithm;particle swarm optimization algorithm;virtual enterprise;partner selection

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.