文献类型：会议论文

英文题名：Cultural Particle Swarm Optimization Algorithm and Its Application

作者：Zhou Wei[1];Bu Yan-ping[2]

机构：[1]E 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：24th Chinese Control and Decision Conference (CCDC)

会议日期：MAY 23-25, 2012

会议地点：Taiyuan, PEOPLES R CHINA

语种：英文

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

摘要：Based on cultural algorithm and classical particle swarm optimization (PSO) algorithm, a cultural particle swarm optimization (CPSO) algorithm is proposed. In the improved algorithm, double evolutionary mechanisms are used. The population space and the belief space of cultural algorithm are redesigned. The proposed model was used to solve the partner selection problem of virtual enterprise. In a virtual enterprise, the whole task can be accomplished by the cooperation among those candidate partners. The optimal objective is to minimize the total cost and completing time. Finally, the performance of the algorithm is evaluated by simulations. Results demonstrate the feasibility and efficiency of the proposed algorithm.