Title: A new multi-population-based artificial bee colony for numerical optimisation

Authors: Gan Yu

Addresses: School of Information Engineering, Fuyang Normal University, Fuyang 236037, China

Abstract: This paper presents a new artificial bee colony (ABC) for numerical optimisation. The new approach called NABC, which employs a new multi-population strategy to enhance the diversity of population. The standard ABC is good at exploration, but poor at exploitation. To tackle this issue, a modified solution updating equation is utilised to generate new candidate solutions. Experiments are conducted on ten well-known benchmark functions. Results show that NABC achieves better solutions than the standard ABC and global best guided ABC.

Keywords: artificial bee colony; multi-population ABC; exploitation; global optimisation; numerical optimisation; metaheuristics; swarm intelligence.

DOI: 10.1504/IJCSM.2016.081695

International Journal of Computing Science and Mathematics, 2016 Vol.7 No.6, pp.509 - 515

Received: 23 May 2016
Accepted: 27 Jun 2016
Published online: 20 Jan 2017 *

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