A Bat Algorithm Based on Lévy Flights Trajectory

Aiming at the phenomenon that bat algorithm has slow convergence and low precision,an improved bat algorithm based on Levy flights trajectory is proposed. The proposed algorithm is characterized by quick convergence and high precision,and it can effectively jump out of local optimum. By means of 12typical test functions simulation,the results show that the algorithm is effective and feasible. Moreover,the algorithm also has excellent approximation performance in solving an optimization problem with high-dimensional space.