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Research on Performance Optimization of Several Frequently-Used Genetic Algorithm Selection Operators

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International Conference on Applications and Techniques in Cyber Security and Intelligence (ATCI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 580))

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Abstract

Genetic Algorithm is an intelligent algorithm for simulation of biological evolution, is widely applied to solve all kinds of problems. In this paper, several Frequently-used selection operators of Genetic Algorithm are programmed by C language, and are tested in an optimization problem.

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References

  1. Wang, X., Cao, L.: Genetic Algorithm - Theory, Application and Software Implementation. Jiao Tong University Press, Xi’an (2002)

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  2. Chen, G., Wang, X., et al.: Genetic Algorithm and Its Application. People’s Posts and Telecommunications Press, Beijing (1996)

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  3. Lifeng, X., Zhongdi, C.: Some frontier problems of fractal geometry-calculation of fractal measure. J. Zhejiang Wanli Univ. 1, 1–3142 (2001)

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Author information

Authors and Affiliations

  1. Business School, Ningbo College of Vocational Technology, Ningbo, China

    Qili Xiao, Jiqiu Li & Changfan Xiao

Authors
  1. Qili Xiao
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  2. Jiqiu Li
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  3. Changfan Xiao
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Corresponding author

Correspondence to Qili Xiao .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Victoria, Australia

    Jemal Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, New South Wales, Australia

    Rafiqul Islam

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Xiao, Q., Li, J., Xiao, C. (2018). Research on Performance Optimization of Several Frequently-Used Genetic Algorithm Selection Operators. In: Abawajy, J., Choo, KK., Islam, R. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence. ATCI 2017. Advances in Intelligent Systems and Computing, vol 580. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-67071-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-67071-3_14

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  • Publisher Name: Edizioni della Normale, Cham

  • Print ISBN: 978-3-319-67070-6

  • Online ISBN: 978-3-319-67071-3

  • eBook Packages: EngineeringEngineering (R0)

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