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Artificial Bee Colony Algorithm Based on New Search Strategy

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Artificial Intelligence Algorithms and Applications (ISICA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1205))

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Abstract

Artificial bee colony (ABC) is a popular swam intelligence algorithm. In ABC, a food source is considered as a feasible solution. Bees flying in the sky and searching food sources is converted into an optimization process. In contrast with other swarm intelligence algorithms, ABC has fewer parameters and stronger search ability. Though ABC excels at exploration, it does not perform well in exploitation. This paper proposes an improved ABC algorithm based on a new search strategy (called NSSABC), in which some current global best solutions are preserved and they are used to guide the search. Experiment was performed on some classical problems and results shows the proposed strategy greatly improves the optimization ability of ABC.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (No. 61663028).

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Authors and Affiliations

  1. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, 330099, China

    Minyang Xu, Hui Wang & Songyi Xiao

  2. School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China

    Minyang Xu, Hui Wang & Songyi Xiao

  3. School of Business Administration, Nanchang Institute of Technology, Nanchang, 330099, China

    Wenjun Wang

Authors
  1. Minyang Xu
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  2. Hui Wang
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  3. Songyi Xiao
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  4. Wenjun Wang
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Corresponding author

Correspondence to Hui Wang .

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Editors and Affiliations

  1. South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, China

    Wei Li

  3. South China Agricultural University, Guangzhou, China

    Hui Wang

  4. The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Xu, M., Wang, H., Xiao, S., Wang, W. (2020). Artificial Bee Colony Algorithm Based on New Search Strategy. In: Li, K., Li, W., Wang, H., Liu, Y. (eds) Artificial Intelligence Algorithms and Applications. ISICA 2019. Communications in Computer and Information Science, vol 1205. Springer, Singapore. https://doi.org/10.1007/978-981-15-5577-0_62

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  • DOI: https://doi.org/10.1007/978-981-15-5577-0_62

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5576-3

  • Online ISBN: 978-981-15-5577-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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