Authors: Ke Wang
Addresses: Department of Public Basic Course, Hunan Urban Construction College, Hunan 411101, China
Abstract: In this paper, we propose a New Artificial Bee Colony (NABC) algorithm to enhance the search ability of onlooker bees. In NABC, the employed bees and onlooker bees utilise different search strategies to generate new candidate solutions. Moreover, NABC does not use the roulette selection, and a new method is designed to select good solutions for the onlooker bees. Experiments on some famous test functions show that the NABC algorithm outperforms some similar ABC and swarm intelligence algorithms.
Keywords: artificial bee colony; ABC; selection; search strategies; global optimisation; swarm intelligence; onlooker bees; search ability.
International Journal of Wireless and Mobile Computing, 2016 Vol.10 No.1, pp.62 - 67
Received: 14 May 2015
Accepted: 04 Jun 2015
Published online: 07 Mar 2016 *