Abstract: In view of particle swarm optimization (PSO) algorithm is easy to trap into local minima in solving multimodal function, we incorporated new update velocities in to the PSO algorithm, and proposed an improved particle swarm optimization algorithm (IPSO). The proposed algorithm has not only maintained the simplification of  implementation of PSO algorithm, also made the convergence fast and computational precision high. Simulation results show that the IPSO can effectively enhance the searching efficiency and greatly improve the searching quality compaired with the CPSO, standard PSO and PSOC.

Key words: particle swarm optimization algorithm, constriction factor, optimization