LI Jian, JING Bo, CHEN Xiubo, WANG Cong. A Model for Virtual Corporations CooperativePartner Selection Based on Hybrid GeneticAlgorithm[J]. Chinese Journal of Electronics, 2010, 19(4): 618-620.
Citation: LI Jian, JING Bo, CHEN Xiubo, WANG Cong. A Model for Virtual Corporations CooperativePartner Selection Based on Hybrid GeneticAlgorithm[J]. Chinese Journal of Electronics, 2010, 19(4): 618-620.

A Model for Virtual Corporations CooperativePartner Selection Based on Hybrid GeneticAlgorithm

  • Received Date: 2009-10-01
  • Rev Recd Date: 2009-12-01
  • Publish Date: 2010-11-25
  • 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.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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