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Author:

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

Indexed by:

Scopus PKU CSCD

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

  • [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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Source :

Journal of System Simulation

ISSN: 1004-731X

Year: 2009

Issue: 23

Volume: 21

Page: 7404-7407

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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