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Preference Bi-objective Evolutionary Algorithm for Constrained Optimization

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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, we propose a new constraint handling approach that transforms constrained optimization problem of any number of constraints into a two objective preference optimization problem. We design a new crossover operator based on uniform design methods ([8]), a new mutation operator using local search and preference, and a new selection operator based on the preference of the two objectives. The simulation results indicate the proposed algorithm is effective.

This work was supported by the National Natural Science Foundation of China (60374063), by the Research Grant Council of Hong Kong SAR under Project HKBU 2156/04E.

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References

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Technology, Xidian University, Xi’an, 710071, China

    Yuping Wang

  2. Department of Basic Course Teaching, Beijing Union University, Beijing, China

    Dalian Liu

  3. Department of Computer Science, Hong Kong Baptist University, Hong Kong, China

    Yiu-Ming Cheung

Authors
  1. Yuping Wang
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  2. Dalian Liu
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  3. Yiu-Ming Cheung
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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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Wang, Y., Liu, D., Cheung, YM. (2005). Preference Bi-objective Evolutionary Algorithm for Constrained Optimization. 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_27

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  • DOI: https://doi.org/10.1007/11596448_27

  • 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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