Abstract: A new method of system identification based on maximum likelihood estimate is presented in this paper. Evolutionary computation is a stochastic optimal algorithm based on mechanics of natural selection and mutation. It has more advantages over gradient maximum likelihood algorithm, which is difficult to global optimization of object function. Experimental results show that evolutionary algorithm can reach the maximization of the global likelihood function.