• ISSN 0258-2724
  • CN 51-1277/U
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Volume 19 Issue 6
Dec.  2006
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Article Contents
DAI Chaohua, ZHU Yunfang, CHEN Weirong. Cloud Theory-Based Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2006, 19(6): 729-732.
Citation: DAI Chaohua, ZHU Yunfang, CHEN Weirong. Cloud Theory-Based Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2006, 19(6): 729-732.

Cloud Theory-Based Genetic Algorithm

  • Received Date: 28 Sep 2005
  • Publish Date: 25 Dec 2006
  • To overcome the shortcomings of a genetic algorithm(GA).i.e.,low convergence speed and easily getting a local optimum solution,a novel genetic algorithm,cloud theory-based genetic algorithm(CGA),was proposed.CGA is based on both the idea of GA and the properties of randomness and stable tendency of a normal cloud model.In this algorithm,Y-conditional cloud generator is used as the cross operator,and basic cloud generator as the mutation operator.Finally,an experiment of function optimization was carried out and a comparison with standard genetic algorithm(SGA) and adaptive genetic algorithm(AGA) was made to testify the validity of CGA,the proposed genetic algorithm.

     

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