A Multigroup Parallel Genetic Algorithm Based on Simulated Annealing Method
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    Abstract:

    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.

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吴浩扬,常炳国,朱长纯,刘君华.基于模拟退火机制的多种群并行遗传算法.软件学报,2000,11(3):416-420

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History
  • Received:January 12,1999
  • Revised:April 06,1999
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