文献类型：会议论文

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]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Sch Technol, Shanghai 201101, Peoples R China

会议论文集：31st Chinese Control Conference

会议日期：JUL 25-27, 2012

会议地点：Hefei, PEOPLES R CHINA

语种：英文

外文关键词：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.