Aimed at the problems that the biology-inspired optimization algorithms are of oneness, one-sidedness and fail to check and analyze uniformly the performance evaluation, thus having a strong impact on the intensive study for performance of the optimization algorithms and failing to solve practical problems accurately, two classical nonparametric statistics methods named Wilcoxon Sign Rank test and Quade test are utilized for testing and analyzing the simulation results of five different BOAs under the conditions of thirty-six different test functions. The experimental results show that the two test methods can be used effectively to compare and analyze the optimization performances of different optimization algorithms. JADE algorithm is most superior in convergence speed and search accuracy compared with the other four algorithms, whereas, GWO has comparatively superior performance in the aspect of stability compared with other four algorithms. And this provides a new idea for evaluating and comparing the performances of different BOAs.