Title: An improved artificial bee colony with new search strategy

Authors: Xiuqin Pan; Yong Lu; Sumin Li; Ruixiang Li

Addresses: School of Information Engineering, MinZu University of China, Beijing, China ' School of Information Engineering, MinZu University of China, Beijing, China ' School of Information Engineering, MinZu University of China, Beijing, China ' School of Information Engineering, MinZu University of China, Beijing, China

Abstract: Artificial Bee Colony (ABC) is a recently proposed optimisation algorithm, which is inspired by the foraging behaviour of honey bees. Although the original ABC has obtained competitive performance on many optimisation problems, it lacks exploitation ability. To overcome this issue, an improved ABC algorithm called IABC is proposed in this paper. The IABC uses a new search strategy by incorporating some randomly selected individuals and the global best individual. In the experiment, a set of well-known benchmark functions are tested. Computational results show that the proposed IABC outperforms the original ABC and GABC.

Keywords: ABC; artificial bee colony; search strategy; global best individual; optimisation; exploitation ability.

DOI: 10.1504/IJWMC.2015.074032

International Journal of Wireless and Mobile Computing, 2015 Vol.9 No.4, pp.391 - 396

Received: 21 May 2015
Accepted: 22 Jun 2015
Published online: 03 Jan 2016 *

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