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Integrating the Simplified Interpolation into the Genetic Algorithm for Constrained Optimization Problems

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Book cover Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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Abstract

In this paper, a hybrid genetic algorithm for solving constrained optimization problems is addressed. First, a real-coded genetic algorithm is presented. The simplified quadratic interpolation method is then integrated into the genetic algorithm to improve its local search ability and the accuracy of the minimum function value. Simulation results on 13 benchmark problems show that the proposed hybrid algorithm is able to avoid the premature convergence and find much better solutions with high speed compared to other existing algorithms.

This work was supported by the National Natural Science Foundations of China (60171045, 60374063 and 60133010).

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References

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Author information

Authors and Affiliations

  1. National Laboratory of Antennas and Microwave Technology, Xidian University, Xi’an, Shaanxi, 710071, China

    Hong Li & Yong-Chang Jiao

  2. School of Science, Xidian University, Xi’an, Shaanxi, 710071, China

    Hong Li

  3. School of Computer Science and Engineering, Xidian University, Xi’an, Shaanxi, 710071, China

    Yuping Wang

Authors
  1. Hong Li
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  2. Yong-Chang Jiao
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  3. Yuping Wang
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yuping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security (Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, H., Jiao, YC., Wang, Y. (2005). Integrating the Simplified Interpolation into the Genetic Algorithm for Constrained Optimization Problems. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_35

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  • DOI: https://doi.org/10.1007/11596448_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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