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FANG Lei, ZHANG Huan-chun, JING Ya-zhi. A New Fuzzy Adaptive Genetic Algorithm[J]. Journal of Electronic Science and Technology, 2005, 3(1): 57-59,71.
Citation: FANG Lei, ZHANG Huan-chun, JING Ya-zhi. A New Fuzzy Adaptive Genetic Algorithm[J]. Journal of Electronic Science and Technology, 2005, 3(1): 57-59,71.
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A New Fuzzy Adaptive Genetic Algorithm

  • College of Automation Engineering,Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Funds: 

Supported by Basic Research Foundation of National Defence (No. B0203-031)

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  • Author Bio:

    FANG Lei research interests include fuzzy control, genetic algorithm and fuzzy processors, flfanglei@sohu.com.

  • Received Date: 2004-03-17
  • Publish Date: 2005-03-24
    Abstract
  • Multiple genetic algorithms (GAs) need a large population size, which will take a long time for evolution. A new fuzzy adaptive GA is proposed in this paper. This algorithm is more effective in global search while keeping the overall population size constant. The simulation results of function optimization show that with the proposed algorithm, the phenomenon of premature convergence can be overcome effectively, and a satisfying optimization result is obtained.
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