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An Improved Genetic Algorithm with Enforced Mutation

  • KONG XiangLei ,
  • ZHANG XianYi ,
  • LUO XiaoLin ,
  • LI HaiYang
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  • 1. Laboratory of Environmental Spectroscopy, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China ;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China

Received date: 2002-07-15

  Revised date: 2002-11-01

  Online published: 2003-05-10

Abstract

An improved genetic algorithm is developed, with the addition of three new operations :enforced mutation;direct preserving of best chromosome and using adaptive parameters.The method compares average fitness of pop with maximum fitness, and makes sure the necessity of enforcedmutation or crossover and mutation with adaptive parameters.The simulating results indicate the improvedmethod can prevent premature and realize global-optimization effectively.

Cite this article

KONG XiangLei , ZHANG XianYi , LUO XiaoLin , LI HaiYang . An Improved Genetic Algorithm with Enforced Mutation[J]. Journal of University of Chinese Academy of Sciences, 2003 , 20(3) : 316 -320 . DOI: 10.7523/j.issn.2095-6134.2003.3.009

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