2009 | OriginalPaper | Buchkapitel
Parameter Tuning for the Artificial Bee Colony Algorithm
verfasst von : Bahriye Akay, Dervis Karaboga
Erschienen in: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Verlag: Springer Berlin Heidelberg
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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.