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An Improved Artificial Bee Colony with Hybrid Strategies

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Advances in Swarm and Computational Intelligence (ICSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9140))

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Abstract

In this paper, we propose an improved artificial bee colony (ABC) algorithm for function optimization. The new approach is called IABC, which employs two strategies to further enhance the performance of the original ABC algorithm. The first strategy utilizes the search information of the global best solution to guide the search of other bees, and the second one introduces a new solution updating model to generate candidate solutions. To test the performance of our algorithm, experiments are conducted a set of well-known functions. Computational results show that IABC achieves better performance than the original ABC and gbest-guided ABC (GABC) in terms of solution accuracy and convergence rate.

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Author information

Authors and Affiliations

  1. Department of Computer, Hunan Normal University, Changsha, 410081, China

    Hong Yang

Authors
  1. Hong Yang
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Corresponding author

Correspondence to Hong Yang .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Universidade de Pernambuco, Recife, Brazil

    Fernando Buarque

  4. Instituto Politécnico Nacional, Mexico, Mexico

    Alexander Gelbukh

  5. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  6. University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

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© 2015 Springer International Publishing Switzerland

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Yang, H. (2015). An Improved Artificial Bee Colony with Hybrid Strategies. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9140. Springer, Cham. https://doi.org/10.1007/978-3-319-20466-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-20466-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20465-9

  • Online ISBN: 978-3-319-20466-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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