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作者:

Shuai, X.-B. (Shuai, X.-B..) | Ma, S.-N. (Ma, S.-N..) | Zhou, X.-G. (Zhou, X.-G..)

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摘要:

Simulating gene order and allele of DNA, inverse and dual operators were defined as two new genetic operators. A genetic algorithm based on inverse and dual combination operator was designed to overcome the defect of genetic algorithm in local searching, which combined with uniform crossover. The genetic algorithm is proved to be convergent. Test shows that it is more efficient in searching, and it has good reference to string-coded genetic algorithm in solving nonlinear optimization problems.

关键词:

Dual operator; Genetic algorithm; Global searching; Inverse operator; Local searching

作者机构:

  • [ 1 ] [Shuai, X.-B.]Institute of Geophysics and Information, Langfang Branch of Research Institute of Petroleum Exploration and Development, PetroChina, Langfang 065007, China
  • [ 2 ] [Ma, S.-N.]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Zhou, X.-G.]Institute of Geophysics and Information, Langfang Branch of Research Institute of Petroleum Exploration and Development, PetroChina, Langfang 065007, China

通讯作者信息:

  • [Shuai, X.-B.]Institute of Geophysics and Information, Langfang Branch of Research Institute of Petroleum Exploration and Development, PetroChina, Langfang 065007, China

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来源 :

Journal of System Simulation

ISSN: 1004-731X

年份: 2009

期: 23

卷: 21

页码: 7404-7407

被引次数:

WoS核心集被引频次: 0

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