文献类型：会议论文

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

作者：ZHOU Wei;BU Yan-ping;ZHOU Ye-qing

机构：[1]School of Business,East China University of Science and Technology,Shanghai,200237;[2]School of Technology,Shanghai Jiaotong University,Shanghai,201101;[3]School of Mathematical Sciences,Fudan University,Shanghai,200433;

会议论文集：第26届中国控制与决策会议(2014 CCDC)论文集

会议日期：20140531

会议地点：长沙

主办单位：中国航空学会;中国自动化学会;中国人工智能学会;中国系统仿真学会

语种：英文

中文关键词：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.