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Parameter Tuning for the Artificial Bee Colony Algorithm

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Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

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Abstract

While solving a problem by an optimization algorithm, adjusting algorithm parameters have significant importance on the performance of the algorithm. A fine tuning of control parameters is required for most of the algorithms to obtain desired solutions. In this study, performance of the Artificial Bee Colony (ABC) algorithm, which simulates the foraging behaviour of a honey bee swarm, was investigated by analyzing the effect of control parameters.

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Author information

Authors and Affiliations

  1. The Dept. of Computer Engineering, Erciyes University, 38039, Melikgazi, Kayseri, Türkiye

    Bahriye Akay & Dervis Karaboga

Authors
  1. Bahriye Akay
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  2. Dervis Karaboga
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Centre for Complex Software Systems and Services, Swinburne University of Technology, Hawthorn, P.O. Box 218, 3122, Victoria, Australia

    Ryszard Kowalczyk

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, G#43, Sec. 4, Keelung Rd, 106, Taipei, Taiwan, R.O.C.

    Shyi-Ming Chen

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© 2009 Springer-Verlag Berlin Heidelberg

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Akay, B., Karaboga, D. (2009). Parameter Tuning for the Artificial Bee Colony Algorithm. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_53

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  • DOI: https://doi.org/10.1007/978-3-642-04441-0_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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