Research on Partner Selection Problem of Virtual Enterprise Based on Improved Genetic Algorithm

被引：0

作者：

Zhou Wei ^{[1
]}

Bu Yan-ping ^{[1
]}

Zhou Ye-qing ^{[1
]}

机构：

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

来源：

26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年

关键词：

genetic algorithm; simulated annealing; virtual enterprise; partner selection;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：1047 / 1052

页数：6

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