Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks

Authors:
Dervis Karaboga;Bahriye Akay;Celal Ozturk
Affiliations:
Erciyes University, Engineering Faculty, Department of Computer Engineering,;Erciyes University, Engineering Faculty, Department of Computer Engineering,;Erciyes University, Engineering Faculty, Department of Computer Engineering,
Venue:
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Year:
2007

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Abstract

Training an artificial neural network is an optimization task since it is desired to find optimal weight set of a neural network in training process. Traditional training algorithms has some drawbacks such as getting stuck in local minima and computational complexity. Therefore, evolutionary algorithms are employed to train neural networks to overcome these issues. In this work, Artificial Bee Colony (ABC) Algorithm which has good exploration and exploitation capabilities in searching optimal weight set is used in training neural networks.