doi: 10.7763/IJMLC.2012.V2.112
An Efficient Multi Population Artificial Bee Colony
Vahid Zeighami1
,
Reza Akbari2 ,
Koorush Ziarati3
- 1Department of Mathematics, Shiraz University, Shiraz, Iran
- 2Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Iran
- 3Department of Computer Science and Engineering and Information Technology, Shiraz University, Shiraz, Iran.
Abstract
Artificial Bee Colony is an optimization algorithm that can be applied on a wide range of engineering problems. In this work, the standard ABC is extended by incorporating cooperative behaviors and an efficient algorithm called multi population ABC (or MPABC) is developed. MPABC aims at improving the performance of the standard ABC algorithm using benefits of cooperation as a social behavior. MPABC works by employing multiple populations that concurrently optimize the solution vector. Cooperation is obtained by sharing information between populations. The proposed algorithm was tested on a set of well known test functions. The results showed that the proposed algorithm is efficient, robust, produce good results, and outperforms other algorithms investigated in this paper.
Keywords
- Artificial
- bee
- colony;
- multi
- population
- artificial
- bee
- colony;
- cooperative
- behaviors
How to Cite
Vahid Zeighami, Reza Akbari, and Koorush Ziarati, "An Efficient Multi Population Artificial Bee Colony," International Journal of Machine Learning, vol. 2, no. 3, pp. 195-199, 2012. https://doi.org/10.7763/IJMLC.2012.V2.112
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).