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Zhong-Lai Wang, Ping Yang, Dan Ling, Qiang Miao. An Improved Real-Coded Genetic Algorithm and Its Application[J]. Journal of Electronic Science and Technology, 2008, 6(1): 43-46.
Citation: Zhong-Lai Wang, Ping Yang, Dan Ling, Qiang Miao. An Improved Real-Coded Genetic Algorithm and Its Application[J]. Journal of Electronic Science and Technology, 2008, 6(1): 43-46.
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An Improved Real-Coded Genetic Algorithm and Its Application

  • School of Mechatronics Engineering,University of Electronic Science and Technology of China,Chengdu,610054,China

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  • Author Bio:

    Zhong-Lai Wang research interests include reliability engineering, optimization design, life cycle reliability-based design and robust design, wzhonglai@uestc.edu.cn

  • Received Date: 2007-04-19
  • Rev Recd Date: 2007-07-20
  • Publish Date: 2008-03-24
    Abstract
  • Real-coded genetic algorithm (RGA) usually meets the demand of consecutive space problem. However, compared with simple genetic algorithm (SGA), RGA also has the inherent disadvantages such as prematurity and slow convergence when the solution is close to the optimum solution. This paper presents an improved real-coded genetic algorithm to increase the compution efficiency and avoid prematurity, especially in the optimization of multi-modal function. In this method, mutation operation and crossover operation are improved. Examples are given to demonstrate its computation efficiency and robustness.
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