Research on Partner Selection Problem of Virtual Enterprise Based on Improved Genetic Algorithm
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 projects completion time and projects 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.
genetic algorithm simulated annealing virtual enterprise partner selection
ZHOU Wei BU Yan-ping ZHOU Ye-qing
School of Business,East China University of Science and Technology,Shanghai,200237 School of Technology,Shanghai Jiaotong University,Shanghai,201101 School of Mathematical Sciences,Fudan University,Shanghai,200433
国际会议
长沙
英文
1047-1052
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）