Abstract: Traditional particle swarm optimization(PSO) algorithms often trap into local minima easily when used for the optimization of high-dimensional complex functions with a lot of local minima.To solve this problem an improved PSO algorithm with disturbance is presented and its convergence capability is studied then.The evolution speed factor of the swarm is introduced in this new algorithm.A disturbance will be added to the velocity update equation when the value of the factor is less than a certain value to he...