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A Multigroup Parallel Genetic Algorithm Based on Simulated Annealing Method

WU Hao yang 1 CHANG Bing guo 2 ZHU Chang chun 1 LIU Jun hua 2 1 (Department of Microelectronic Engineering\ School of Electronic Information Engineering\ Xi'an Jiaotong University\ Xi'an\ 710049) 2 (Department of Automation Engineering\ Sch  
Simulated annealing and multigroup parallel evolution are two helpful methods which can improve the performance of genetic algorithm. These two ideas are well combined in this paper, and a new algorithm is derived, that is the multigroup parallel genetic algorithm based on simulated annealing method. Simulation results show that this method not only quickens the computation, but also improves the convergence efficiency, thus produces more satisfactory results.
【Fund】: 国家自然科学基金!(No.6 9776 0 37);; 教育部博士点基金!(No.980 6 982 8)
【CateGory Index】: TP18
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