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Wang Zhong, Chai Hejun, Liu Haowu. The Improvement of Evolution Genetic Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2002, 31(1): 76-79.
Citation: Wang Zhong, Chai Hejun, Liu Haowu. The Improvement of Evolution Genetic Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2002, 31(1): 76-79.
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The Improvement of Evolution Genetic Algorithm

  • 1.

    Department of Advanced Technology,Shenzhen ZTE Ltd. Co.,518007;

  • 2.

    Department of Hydraulic Engineering,Sichuan University Chengdu 610065

  • Received Date: 2001-11-09
  • Publish Date: 2002-02-15
  • Based on analyzing of evolution genetic algorithm (EGA), some shortcomings are pointed out in this paper:EGA has a bad performance when the solution of a problem is on the boundary, and sometimes the operator of mutation will cause some mistaken. Some improvements are presented in this paper:new genetic operators of crossover and mutation. Through computing of an example, ones can see that the new algorithm has better performance when the solution is on the boundary.
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The Improvement of Evolution Genetic Algorithm

  • 1. Department of Advanced Technology,Shenzhen ZTE Ltd. Co.,518007;
  • 2. Department of Hydraulic Engineering,Sichuan University Chengdu 610065
  • Received Date: 2001-11-09
  • Publish Date: 2002-02-15

Abstract: Based on analyzing of evolution genetic algorithm (EGA), some shortcomings are pointed out in this paper:EGA has a bad performance when the solution of a problem is on the boundary, and sometimes the operator of mutation will cause some mistaken. Some improvements are presented in this paper:new genetic operators of crossover and mutation. Through computing of an example, ones can see that the new algorithm has better performance when the solution is on the boundary.

Wang Zhong, Chai Hejun, Liu Haowu. The Improvement of Evolution Genetic Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2002, 31(1): 76-79.
Citation: Wang Zhong, Chai Hejun, Liu Haowu. The Improvement of Evolution Genetic Algorithm[J]. Journal of University of Electronic Science and Technology of China, 2002, 31(1): 76-79.
shu

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