On the performance of artificial bee colony (ABC) algorithm


Karaboga D. , Basturk B.

APPLIED SOFT COMPUTING, vol.8, no.1, pp.687-697, 2008 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 8 Issue: 1
  • Publication Date: 2008
  • Doi Number: 10.1016/j.asoc.2007.05.007
  • Title of Journal : APPLIED SOFT COMPUTING
  • Page Numbers: pp.687-697
  • Keywords: swarm intelligence, bee colony algorithm, ABC, DE, PSO, EA, numerical optimization, GENETIC ALGORITHMS

Abstract

Artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. This work compares the performance of ABC algorithm with that of differential evolution ( DE), particle swarm optimization (PSO) and evolutionary algorithm ( EA) for multi-dimensional numeric problems. The simulation results show that the performance of ABC algorithm is comparable to those of the mentioned algorithms and can be efficiently employed to solve engineering problems with high dimensionality. (C) 2007 Elsevier B.V. All rights reserved.