A M odel for Virtual Corporations Cooperative Partner Selection Based on Hybrid Genetic Algorithm

To enhance the e fficien cy of corporation cooperative p artner se le ct io n and o ptimization p roce ss in virtual corporations, a Hybrid genetic algorithm (HG A) and its application in cooperative partner sele ct io n process and optimizations model for was presented. In the model, the hybrid genetic algorithm is used t o enhance the efficiency of corporation cooperative partner select io n and optimization process. In the ex p e r ime n ts, four kinds of g e n et ic algorithms are used to compared with, they a re Standard g e n e t ic a lgorithm (S G A) , the g enet ic a lg o rit h m based on metropolis rule (MGA), A d a ptive genetic a lg orithm (AGA) and HGA . After 1000 time s of ex per imen ts to gain the optimal r esult , SGA averagely needs 168 r u ns of negotiations , MGA avera gely n eeds 14 6 runs of n egotiations, AGA a veragely needs 125 runs of n egotiations , while HGA averagely needs only 101 runs o f n egotiations . The experimental results s h ow that the HGA can gain the optima l r esu lt more effici e nt ly than other four thre e k inds . ~ . of genet ic algorithm in corporation cooperativ e p artner sele c t iori and optimization proces s .