earticle

영어

A new hybridized Artificial Bee Colony (HABC) algorithm is presented. The exploration/exploitation balancing strategy of Simulated Annealing is incorporated into the original ABC algorithm to improve its search efficiency and reduce its computational cost. The algorithm begins with a high exploration rate and minimal exploitation effort and gradually switches to higher exploitation rates as the promising areas of the search space are identified. The proposed algorithm is applied to a number of benchmark problems. Comparison of the results indicates that in most cases the hybridized algorithm outperforms the other two algorithms.