Study on two stage composite Particle Swarm Optimization and its application

In this paper, in view of the slowness and the locality of convergence for simple particle swarm optimization (PSO) in solving the complex system optimization, a two stage composite particle swarm optimization (TS-CPSO) is proposed as an improved PSO with the strategy of gradual range contraction. The designing ideas and the implementation of TS-CPSO are also given, and the convergence is analyzed by simulation. All the results indicate that the new type of algorithm is able to converge to the global optimal solution and could efficiently avoid the premature phenomenon. So it will be applicable for the large-scale and high-precision optimization problems.