Parameters-Optimized Multi-subswarms Particle Swarm Optimization

Parameters-Optimized Multi-swarms Particle Swarm Optimization (POMS-PSO) is proposed in this paper. The POMS-PSO employs three subswarms totally, the C-swarm, r-subswarm and K-subswarm. The concept of parameter-optimization referred is realized by C-swarm to optimize the free parameters of the r- and K-subswarms using standard PSO. The problem-oriented optimization process is performed by r- and K-subswarm who take the advantage of r-selection and K-selection respectively. We assessed the performance of the POMS-PSO on a set of benchmark functions. The experimental result shows that POMS-PSO could help to optimize the evolution parameters and could improve the convergence precision.