On Modification and Application of the Artificial Bee Colony Algorithm


Zhanxiang Ye, Min Zhu, Jin Wang, Journal of Information Processing Systems Vol. 14, No. 2, pp. 448-454, Apr. 2018  

10.3745/JIPS.01.0025
Keywords: artificial bee colony, Bees’ Number Reallocation, Search Equation
Fulltext:

Abstract

Artificial bee colony (ABC) algorithm has attracted significant interests recently for solving the multivariate optimization problem. However, it still faces insufficiency of slow convergence speed and poor local search ability. Therefore, in this paper, a modified ABC algorithm with bees’ number reallocation and new search equation is proposed to tackle this drawback. In particular, to enhance solution accuracy, more bees in the population are assigned to execute local searches around food sources. Moreover, elite vectors are adopted to guide the bees, with which the algorithm could converge to the potential global optimal position rapidly. A series of classical benchmark functions for frequency-modulated sound waves are adopted to validate the performance of the modified ABC algorithm. Experimental results are provided to show the significant performance improvement of our proposed algorithm over the traditional version.


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Cite this article
[APA Style]
Zhanxiang Ye, Min Zhu, & Jin Wang (2018). On Modification and Application of the Artificial Bee Colony Algorithm. Journal of Information Processing Systems, 14(2), 448-454. DOI: 10.3745/JIPS.01.0025.

[IEEE Style]
Z. Ye, M. Zhu and J. Wang, "On Modification and Application of the Artificial Bee Colony Algorithm," Journal of Information Processing Systems, vol. 14, no. 2, pp. 448-454, 2018. DOI: 10.3745/JIPS.01.0025.

[ACM Style]
Zhanxiang Ye, Min Zhu, and Jin Wang. 2018. On Modification and Application of the Artificial Bee Colony Algorithm. Journal of Information Processing Systems, 14, 2, (2018), 448-454. DOI: 10.3745/JIPS.01.0025.