W Gao, S Liu - Computers & Operations Research, 2012 - Elsevier
Artificial bee colony algorithm (ABC) is a relatively new optimization technique which has been shown to be competitive to other population-based algorithms. However, there is still …
This study proposes a novel binary version of the artificial bee colony algorithm based on genetic operators (GB-ABC) such as crossover and swap to solve binary optimization …
Artificial bee colony (ABC) algorithm has been introduced for solving numerical optimization problems, inspired collective behavior of honey bee colonies. ABC algorithm has three …
MS Kiran, M Gündüz - Turkish Journal of Electrical …, 2013 - journals.tubitak.gov.tr
The artificial bee colony (ABC) algorithm, which was inspired by the foraging and dance behaviors of real honey bee colonies, was first introduced for solving numerical optimization …
D Karaboga - scholarpedia, 2010 - scholarpedia.org
The Artificial Bee Colony (ABC) algorithm is a swarm based meta-heuristic algorithm that was introduced by Karaboga in 2005 (Karaboga, 2005) for optimizing numerical problems. It …
G Li, P Niu, X Xiao - Applied soft computing, 2012 - Elsevier
Artificial bee colony algorithm (ABC), which is inspired by the foraging behavior of honey bee swarm, is a biological-inspired optimization. It shows more effective than genetic …
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-organized swarms. The well known examples for these swarms are bird flocks, fish …
The ABC algorithm is one of the popular optimization algorithms and has been used successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …
The artificial bee colony (ABC) algorithm is a swarm-based optimization technique proposed for solving continuous optimization problems. The artificial agents of the ABC algorithm use …