A modified particle swarm optimization predicted by velocity

In standard particle swarm optimization (PSO), the velocity only provides a position displacement contrast with the longer computational time. To avoid premature convergence, a new modified PSO is proposed in which the velocity considered as a predictor, while the position considered as a corrector. The algorithm gives some balance between global and local search capability, and results the high computational efficiency. The optimization computing of some examples is made to show the new algorithm has better global search capacity and rapid convergence rate.