Research on ant colony algorithm based risk programming for virtual enterprise

被引:0
|
作者
Huang, M [1 ]
Wu, XJ [1 ]
Wang, XW [1 ]
机构
[1] Northeastern Univ, Fac Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on the ant colony optimization idea, this paper presents a new algorithm for the risk programming problem in virtual enterprise. Using this method, the entire risk level of the virtual enterprise is minimized by combination optimization of risk solutions with the constraint of risk investment. Results of numerical tests show the effectiveness of the algorithm and it is the scientific management method for virtual enterprise risk programming.
引用
收藏
页码:422 / 427
页数:6
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