In order to improve the convergence speed and the precision of bat algorithm(BA), a bat optimal algorithm combined uniform mutation with Gaussian mutation(UGBA) is proposed. A mutation switch function which makes all individuals have the probability of mutation operation in the whole process is introduced to ensure the population diversity and activity. Meanwhile, uniform mutation and Gaussian mutation are integrated into the whole procedure, which can allow the algorithm to locate global optimal space quickly and implement the accuracy of the solution. Simulation results show that the improved algorithm has faster convergence speed and higher convergence accuracy.