Title :
Research on ant colony algorithm based risk programming for virtual enterprise
Author :
Huang, Min ; Wu, Xuejing ; Wang, Xingwei
Author_Institution :
Fac. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
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.
Keywords :
minimisation; risk management; virtual enterprises; ant colony algorithm; optimization; risk programming; virtual enterprise; Ant colony optimization; Constraint optimization; Costs; Information science; Investments; Manufacturing; Market opportunities; Risk management; Testing; Virtual enterprises;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460452