I. Introduction
Particle Swarm Optimization (PSO) is a population-based random search strategy and an adaptive optimization algorithm developed by Dr. Eberhart and Dr. Kennedy in 1995[1]. Because of the unique search mechanism, excellent convergence performance and easy realization, the algorithm has obtained rapid development and has been widely used in many fields since it was proposed [2] [3] [4].