Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:A4L-A

Session:

Number:223

Investigation of Artificial Bee Colony Algorithm with Two Kinds of Colonies

Yudai Shirasaki,  Yoko Uwate,  Yoshifumi Nishio,  

pp.223-226

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.223

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Summary:
Artificial Bee Colony (ABC) is well known as optimization algorithm based on a particular intelligent foraging behavior of honeybee swarms. In this study, We propose Artificial Bee Colony having Two Kinds of Colonies (ABCTKC). It has different characteristic each group. We investigate the characteristic and the performance of ABCTKC by four benchmark functions and confirm that this new searching strategy has high speed convergence.

References:

[1] D. Karaboga, “An idea based on honeybee swarm for numerical optimization,” Technical Report TR06, Erciyes University, Computer Engineering Department, 2005.

[2] D. Karaboga and B. Akay, “A comparative study of artificial bee colony algorithm,” Applied Mathematics and Computation 214, pp. 108-132, Erciyes University, Computer Engineering Department, 2009.

[3] D.T. Pham, A. Ghanbarzaden, E. Koc, S. Otri, S. Rahim and M. Zaidi, “The bees algorithm,” Technical Note, Manufacturing Engineering Centre, Cardiff University, UK, 2005.

[4] K. Guney and M. Onay, “Bees algorithm for interference suppression of linear antenna arrays by controlling the phase-only and both the amplitude and phase,” Faculty of Engineering, Erciyes University, 2007.

[5] Y. Shirasaki, Y. Uwate and Y. Nishio, “Artificial bee colony having twin colonies,” Proc. of Asia Pacific Conference on Circuits and Systems, 2012.(Being submitted.)