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A Genetic Algorithm with Age and Sexual Features

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Intelligent Computing (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4113))

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Abstract

Genetic Algorithm (GA) has been successfully applied to many optimization problems. One problem with Standard GA is its premature convergence for complex multi-modal functions. To overcome it, in this paper a novel genetic algorithm with age and sexual features is proposed. Age and sexual features are provided to individuals to simulate the sexual reproduction popular in nature. During applying age and sexual operators, different evolutionary parameters are given to genetic individuals. As a result, the proposed Genetic Algorithm can combat premature convergence and maintain the diversity of population, and thereby converge on global solutions.

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Author information

Authors and Affiliations

  1. College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, 315016, P.R. China

    Yani Zhu, Zhongxiu Yang & Jiatao Song

Authors
  1. Yani Zhu
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  2. Zhongxiu Yang
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  3. Jiatao Song
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China

    De-Shuang Huang

  2. Carnegie Mellon University,  

    Kang Li

  3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Stranmillis Road, BT9 5AH, Belfast, UK

    George William Irwin

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhu, Y., Yang, Z., Song, J. (2006). A Genetic Algorithm with Age and Sexual Features. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_75

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  • DOI: https://doi.org/10.1007/11816157_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37271-4

  • Online ISBN: 978-3-540-37273-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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