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Parameter Tuning for the Artificial Bee Colony Algorithm

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

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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© 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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