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Improving the Searching Capacity of Evolved Bat Algorithm by the Periodic Signal

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

Abstract

In this paper, the evolved bat algorithm is improved by replacing the fixed value, which is determined by the media, with the periodic signal. The familiar periodic signal exists in the natural environment is the sine/cosine signal. We take the cosine signal in our design of improving the searching capacity of the evolved bat algorithm. Three test functions, of which the global optimum values are known, are used in the experiments. The experimental results indicate that our proposed strategy improves the searching accuracy of the evolved bat algorithm about 45.722% in average.

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Fujian University of Technology, Fuzhou City, 350118, Fujian, China

    Pei-Wei Tsai, Sijing Cai & Jeng-Shyang Pan

  2. Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou City, 350118, Fujian, China

    Pei-Wei Tsai & Lyu-Chao Liao

  3. Council of Indigenous Peoples, Executive Yuan, New Taipei City, 24220, Taipei, Taiwan

    Vaci Istanda

  4. Innovative Information Industry Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518055, China

    Jeng-Shyang Pan

Authors
  1. Pei-Wei Tsai
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  2. Sijing Cai
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  3. Vaci Istanda
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  4. Lyu-Chao Liao
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  5. Jeng-Shyang Pan
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Corresponding author

Correspondence to Jeng-Shyang Pan .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Tsai, PW., Cai, S., Istanda, V., Liao, LC., Pan, JS. (2016). Improving the Searching Capacity of Evolved Bat Algorithm by the Periodic Signal. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

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