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A Heuristic Scout Search Mechanism for Artificial Bee Colony Algorithm

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1074))

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Abstract

Artificial bee colony (ABC) algorithm simulates the foraging behavior of honey bees, which has shown good performance in many application problems and large scale optimization problems. However, the scout foraging behavior in the ABC algorithm is completely random, which would sometimes make it consume more search efforts to discover some promising area and hamper the convergent speed of the ABC algorithm, especially for large scale optimization. To overcome this drawback, this paper proposes a heuristic scout search (HSS) mechanism based on the information obtained during running to guide the scout search. The ABC algorithm with HSS mechanism (HSSABC) has been tested on a set of test functions. Experimental results show that the HSS mechanism can greatly speed up the convergence of the ABC algorithm. After the use of HSS, the performance of the ABC algorithm is significantly improved for both rotated problems and large scale problems.

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Author information

Authors and Affiliations

  1. Key Laboratory of Fire Scene Investigation and Evidence Identification, Shenyang, 110034, China

    Ying Wu

  2. Shenyang Fire Research Institute of Ministry of Public Security, Shenyang, 110034, China

    Ying Wu

  3. School of Software, Northeastern University, Shenyang, 110819, China

    Jian Xu & Changsheng Zhang

Authors
  1. Ying Wu
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  2. Jian Xu
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  3. Changsheng Zhang
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Corresponding author

Correspondence to Changsheng Zhang .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Wu, Y., Xu, J., Zhang, C. (2020). A Heuristic Scout Search Mechanism for Artificial Bee Colony Algorithm. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_29

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