Particle, among swam algorithm, is apt to keep its own state. While how to change its state has great influence on the position and the adjustment of the velocity. In this paper presents a new method—an adaptive particle swarm algorithm of periodic random disturbance strategy. And the nonlinear declination as well as Self-adapting inertia improved in the process of particles moving. Better results can be obtained by the new method compared with the former ones and which only adopts linear decline in the particle swarm algorithm.