A modified Artificial Bee Colony algorithm for real-parameter optimization

AKAY B., KARABOĞA D.

INFORMATION SCIENCES, vol.192, pp.120-142, 2012 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 192
  • Publication Date: 2012
  • Doi Number: 10.1016/j.ins.2010.07.015
  • Journal Name: INFORMATION SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.120-142
  • Keywords: Swarm intelligence, Self-organization, Artificial Bee Colony algorithm, Real-parameter optimization, SEARCH, SWARM
  • Erciyes University Affiliated: Yes

Abstract

Swarm intelligence is a research field that models the collective intelligence in swarms of insects or animals. Many algorithms that simulates these models have been proposed in order to solve a wide range of problems. The Artificial Bee Colony algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behaviour of honey bee colonies. In this work, modified versions of the Artificial Bee Colony algorithm are introduced and applied for efficiently solving real-parameter optimization problems. (C) 2010 Elsevier Inc. All rights reserved.