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Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks

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2 Author(s)
Karaboga, D. ; Bilgisayar Muhendisligi Bolumu, Erciyes Univ., Kayseri ; Akay, B.

In this work, performance of the artificial bee colony algorithm, a recently proposed algorithm, has been tested on training on artificial neural networks which are widely used in signal processing applications and the performance of the algorithm has been compared to differential evolution and particle swarm optimization algorithms which are also population-based algorithms. Results show that ABC algorithm outperforms the other algorithms.

Published in:

Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th

Date of Conference:

11-13 June 2007