A Genetic Algorithm Based on Metropolis Rule and Its Application in Virtual Corporations Formation Model

To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, a genetic algorithm based on Metropolis rule (MGA) and its application in virtual partner selection process is presented. In the model, MGA is used to enhance the efficiency of corporation partner selection and optimization process. After 1000 times of experiments to gain the optimal result, standard genetic algorithm(SGA) averagely needs 166 runs, while the MGA averagely needs only 149 runs. The experimental results showed that the MGA could gain the optimal result more efficiently than SGA in virtual corporation formation process.