Abstract:

n order to overcome prematurity and low searching speed of the artificial bee colony (ABC), a  hybrid artificial bee colony (HABC) algorithm is proposed. An eliminative rule and the new search strategy is introduced into the iteration of ABC to improve the convergence rate. Then, to maintain the population diversity,  differential evolution (DE) simulates evolution and all individuals are taken into account in each generation. One experiment of parameter optimization of frequencymodulated (FM) synthesis indicates that the proposed algorithm can avoid prematurity effectively, and the algorithm possesses better ability in finding global optimum than compared algorithms. The proposed algorithm can be used to solve linear system approximation problems, and results show that the algorithm is fast and effective, and greatly outperforms other algorithms.