An Improved Artificial Bee Colony Algorithm Based on Special Division and Intellective Search

He Huang, Min Zhu and Jin Wang
Volume: 15, No: 2, Page: 433 ~ 439, Year: 2019
10.3745/JIPS.02.0111
Keywords: Artificial Bee Colony, Global Search, Intellective Search, Special Division
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Abstract
Artificial bee colony algorithm is a strong global search algorithm which exhibits excellent exploration ability. The conventional ABC algorithm adopts employed bees, onlooker bees and scouts to cooperate with each other. However, its one dimension and greedy search strategy causes slow convergence speed. To enhance its performance, in this paper, we abandon the greedy selection method and propose an artificial bee colony algorithm with special division and intellective search (ABCIS). For the purpose of higher food source research efficiency, different search strategies are adopted with different employed bees and onlooker bees. Experimental results on a series of benchmarks algorithms demonstrate its effectiveness.

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Cite this article
IEEE Style
H. Huang, M. Zhu and J. Wang, "An Improved Artificial Bee Colony Algorithm Based on Special Division and Intellective Search," Journal of Information Processing Systems, vol. 15, no. 2, pp. 433~439, 2019. DOI: 10.3745/JIPS.02.0111.

ACM Style
He Huang, Min Zhu, and Jin Wang. 2019. An Improved Artificial Bee Colony Algorithm Based on Special Division and Intellective Search, Journal of Information Processing Systems, 15, 2, (2019), 433~439. DOI: 10.3745/JIPS.02.0111.