An Improved Particle Swarm Optimization for Complex Optimization Problems

摘要

An improved particle swarm optimization (IPSO) is proposed where a general center particle is incorporated into particle swarm optimization (PSO) with linearly decreasing inertia weight factor in this paper. The general center particle is formed by the center of the best-found positions of all particles in IPSO. It has potential capacity to get good positions and guide the search direction of the whole swarm because of frequently appearance as the best particle of the swarm. Numerical results and comparison on a set of benchmark optimization functions show the proposed algorithm is a promising optimization method in obtaining better solutions.