文献类型：会议论文

英文题名：Research on Partner Selection Problem of Virtual Enterprise Based on Improved Genetic Algorithm

作者：Zhou Wei[1];Bu Yan-ping;Zhou Ye-qing

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

会议论文集：26th Chinese Control and Decision Conference (CCDC)

会议日期：MAY 31-JUN 02, 2014

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：genetic algorithm; simulated annealing; virtual enterprise; partner selection

摘要：The partner selection and optimization problem is an important area of virtual enterprise (VE). Genetic algorithm (GA) is optimization and parallel strategy simulating biology evolutionary mechanism in nature and a high efficient algorithm solving these types of problems. After analyzing the partner selection problems of virtual enterprise, the improved genetic algorithm (IGA) 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. A set of experiments show that the algorithm is stable and presents low variability. We analyze the laboratory results to show that the improved algorithm has better characteristics than standard GA when it was used in partner selection problems.