Authors: Jagdish Chand Bansal; Harish Sharma; Shimpi Singh Jadon
Addresses: South Asian University, Akbar Bhawan, Chanakyapuri, New Delhi, 110021, India ' ABV-Indian Institute of Information Technology and Management Gwalior, Morena Link Road, Gwalior Madhya Pradesh, 474015, India ' ABV-Indian Institute of Information Technology and Management Gwalior, Morena Link Road, Gwalior Madhya Pradesh, 474015, India
Abstract: In recent years, swarm intelligence has proven its importance for the solution of those problems that cannot be easily dealt with classical mathematical techniques. The foraging behaviour of honey bees produces an intelligent social behaviour and falls in the category of swarm intelligence. Artificial bee colony (ABC) algorithm is a simulation of honey bee foraging behaviour, established by Karaboga in 2005. Since its inception, a lot of research has been carried out to make ABC more efficient and to apply it on different types of problems. This paper presents a review on ABC developments, applications, comparative performance and future research perspectives.
Keywords: artificial bee colony algorithm; ABCA; swarm intelligence; metaheuristics; evolution strategy; simulation; honey bees; foraging behaviour.
International Journal of Advanced Intelligence Paradigms, 2013 Vol.5 No.1/2, pp.123 - 159
Received: 21 Jul 2012
Accepted: 25 Jan 2013
Published online: 20 Jun 2013 *