Artificial Immune Algorithms for Partner Selection Problem in a Virtual Enterprise
One of the key factors of virtual enterprises success is that the dominant enterprise can make the correct decision in the selection of a cooperative partner.Thus partner selection is the essential and the most important issue,which is usually a combinatorial optimization problem as a matter of fact.This paper proposes a partner selection based on artificial immune algorithm (AIS).First,an optimization model is presented,which includes the main crucial factors for partner selection,such as running cost,reaction time and failure risk.In the method,the optimal partners are regarded as antigens,and a group of partners are regarded as antibodies.The clonal selection algorithm inspired by immune system is employed to evolve antibodies.The population of antibodies is iteratively evaluated according to fitness function,and evolves into the optimal antibody using the evolution principles of the clonal selection.A typical example is used to illustrate the effectiveness of the algorithm.Experimental results indicate that the proposed model and algorithm can obtain satisfactory solutions.
Artificial Immune Algorithms Clonal Selection Partner Selection Virtual Enterprise
ZHAN Junsan
School of Computer Science,Hubei University of Technology,Wuhan,P.R.China,430068
国际会议
2008 International Conference on Lofistics Engineering and Supply Chain(2008物流与供应链管理国际研讨会)
长沙
英文
180-185
2008-08-20（万方平台首次上网日期，不代表论文的发表时间）