Abstract: The Particle Swarms Optimization（PSO） based on particle evolution is proposed.Location best version of PSO is adopted in the algorithm.Particle swarms are employed to search in the solution space independently that enhances the global searching ability.The location of evolutional particles will be reset in order to force it getting out of locally minimum.It makes the particle escaped from the premature convergence and increases the stability of algorithm.Comparative experiments on three testing functions indicate that the algorithm is better than the standard PSO.