A Comprehensive review of Artificial Bee Colony Algorithm

Kamalam Balasubramani; Karnan Marcus

doi:10.24297/ijct.v5i1.4382

Authors

Kamalam Balasubramani Atria Institute of Technology, Bangaloreâ€“560024
Karnan Marcus Tamil Nadu College of Engineering, Coimbatore-641659

DOI:

https://doi.org/10.24297/ijct.v5i1.4382

Keywords:

Artificial Bee Colony, stochastic, evolutionary method, foraging behavior

Abstract

The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based evolutionary method proposed by Karaboga in the year 2005. ABC algorithm is simple and very flexible when compared to other swarm based algorithms. This method has become very popular and is widely used, because of its good convergence properties. The intelligent foraging behavior of honeybee swarm has been reproduced in ABC.Numerous ABC algorithms were developed based on foraging behavior of honey bees for solving optimization, unconstrained and constrained problems. This paper attempts to provide a comprehensive survey of research on ABC. A system of comparisons and descriptions is used to designate the importance of ABC algorithm, its enhancement, hybrid approaches and applications.