Title: The performance research of artificial bee colony algorithm on the large scale global optimisation problems

Authors: Yu Xue; Jiongming Jiang; Tinghuai Ma; Chi Li

Addresses: School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Engineering Center of Network Monitoring, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China

Abstract: Swarm intelligent optimisation algorithms have been researched widely in recent years. Artificial Bee Colony (ABC) algorithm is a kind of swarm intelligent algorithm with briefness and efficiency for global optimisation problems. This paper focuses on the performance of ABC algorithm on the large-scale global optimisation problems. The algorithm has been tested on 12 benchmark functions from relevant literature. The experiment results of ABC algorithm on the large-scale global optimisation problems have been shown in this paper. The experiment results indicated that as the dimensions of the test functions increase, the performance of ABC on most test problems deteriorates gradually.

Keywords: artificial bee colony; ABC; performance evaluation; large-scale global optimisation; numerical optimisation; swarm intelligence.

DOI: 10.1504/IJWMC.2015.073101

International Journal of Wireless and Mobile Computing, 2015 Vol.9 No.3, pp.300 - 305

Received: 12 May 2015
Accepted: 01 Jun 2015
Published online: 19 Nov 2015 *

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