Improved binary artificial bee colony algorithm

The artificial bee colony (ABC) algorithm is an evolutionary optimization based on swarm intelligence and inspired by the honey bees’ food search behavior. Since ABC has been developed to achieve optimal solutions searching in continuous space, modification required apply it binary problems. In this study, we modify solve problems name improved (IbinABC). proposed method consists of update mechanism fitness values selection different decision variables. Therefore, aim prevent from getting stuck a local minimum increasing its exploration ability. We compare IbinABC with three variants other meta-heuristic algorithms literature. For comparison, use well-known OR-Library dataset containing 15 problem instances prepared for uncapacitated facility location problem. Computational results show that superior others terms convergence speed robustness. source code available at https://github.com/rafetdurgut/ibinABC .