Minimizing the multimodal functions with Ant Colony Optimization approach


Toksari M. D.

EXPERT SYSTEMS WITH APPLICATIONS, vol.36, no.3, pp.6030-6035, 2009 (Journal Indexed in SCI) identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 3
  • Publication Date: 2009
  • Doi Number: 10.1016/j.eswa.2008.06.077
  • Title of Journal : EXPERT SYSTEMS WITH APPLICATIONS
  • Page Numbers: pp.6030-6035

Abstract

The ant colony optimization (ACO) algorithms, which are inspired by the behaviour of ants to find solutions to combinatorial optimization problem, are multi-agent systems. This paper presents the ACO-based algorithm that is used to find the global minimum of a nonconvex function. The algorithm is based on that each ant searches only around the best solution of the previous iteration. This algorithm was tested on some standard test functions, and successful results were obtained. Its performance was compared with the other algorithms, and was observed to be better. (C) 2008 Elsevier Ltd. All rights reserved.