A Model for Virtual Corporations CooperativePartner Selection Based on Hybrid GeneticAlgorithm

To enhance the efficiency of corporationcooperative partner selection and optimization process invirtual corporations, a Hybrid genetic algorithm (HGA)and its application in cooperative partner selection processand optimizations model for was presented. In themodel, the hybrid genetic algorithm is used to enhancethe efficiency of corporation cooperative partner selectionand optimization process. In the experiments, four kindsof genetic algorithms are used to compared with, they areStandard genetic algorithm (SGA), the genetic algorithmbased on metropolis rule (MGA), Adaptive genetic algorithm(AGA) and HGA. After 1000 times of experimentsto gain the optimal result, SGA averagely needs 168 runsof negotiations, MGA averagely needs 146 runs of negotiations,AGA averagely needs 125 runs of negotiations,while HGA averagely needs only 101 runs of negotiations.The experimental results show that the HGA can gain theoptimal result more efficiently than other four three kindsof genetic algorithm in corporation cooperative partner selectionand optimization process.