Particle swarm optimization is a new computational method for tackling optimization functions.However

it is easily trapped into the local optimization when solving high-dimension functions.To overcome this shortcoming

a new particle swarm optimization which improves particle’s velocity and position update rule to adjust its movement based on the individual best position is proposed in the paper.The modified algorithm can enhance capability of optimization.Five benchmark functions are tested

and the results ...