An improved particle swarm optimization algorithm

Abstract

An improved particle swarm optimization (IPSO) is proposed in this paper. In the new algorithm, the Optimal and sub-optimal locations, which each particle encountered and the swarm meted, are kept. Based on these locations, the IPSO produces four velocities for each particle and obtains the particle's iterative position. The IPSO enlarges the search space and enhances global search ability. From the results obtained through benchmark problems, it is clearly seen that the proposed IPSO method is competitive to the PSO. © 2011 Springer-Verlag.