Partnership selection of agile virtual enterprise based on grey ant colony algorithm

被引：0
|
作者：
Fang, Y. D. [1 ]
Du, L. H. [2 ]
Chen, H. [1 ]
Sun, B. [1 ]
He, Y. L. [3 ]
机构：
[1] Xian Technol Univ, Inst Mech & Elect Engn, Jin Hua N Rd 4, Xian, Shaan Xi, Peoples R China
[2] Xian Univ Finance & Econom, Sch Informat, Xian, Peoples R China
[3] Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Xian, Peoples R China
来源：
COMPUTATIONAL SCIENCE - ICCS 2008, PT 3 | 2008年 / 5103卷
基金：
中国国家自然科学基金;
关键词：
partner selection; grey relation theory; ant colony algorithm; agile virtual enterprise;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The paper analyzes the art of partner selection, and enumerates the advantage of partnership selection based on grey relation theory and ant colony algorithm. Furthermore, evaluation framework of agile virtual enterprise (AVE) partner pre-election is analyzed and designed based on the characteristics of AVE. According to grey relation theory, considerable candidate enterprises are selected to reduce the size of problem. Lastly, cooperative enterprise selecting path is decided by making use of ant colony algorithm in terms of transportation cost.
引用
收藏
页码：731 / +
页数：2
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