Some modifications to enhance the performance of Artificial Bee Colony

The Artificial Bee Colony (ABC) algorithm, proposed by Karaboga in 2005 for real-parameter optimization, is a recently introduced optimization algorithm which simulates the foraging behaviour of a bee colony. The proposed variant employs colony size (population size) reduction mechanism during the evolutionary process. Then modification is done to enhance the perturbation scheme. Further, in order to improve the population diversity and avoid the premature convergence, rank selection strategy is applied and analyzed through simulation. The results show that the modified algorithm outperforms the basic ABC algorithm.