Mutation particle swarm optimization (MPSO) is a kind of improved stochastic global optimization based on swarm intelligence. The advantages of MPSO are that the probability falling into the local extreme values can be reduced; and the global optimal searching capability is improved. A new algorithm which combined MPSO with radial basis function (RBF) is presented. It not only has the advantage of the global optimization of MPSO

but also has local accurate searching of RBF. Numerical example shows that the presented method can solve the problem which includes multi-parameters identification and nonlinear optimization problem. This approach has the characteristics of global convergence. The intelligent algorithm is simple and precise.