An improvement on particle swarm optimization

Recently Particle swarm optimization (PSO) has gained more attentions, but the basic PSO is easily plunged into local optima. This paper proposed an improvement to basic PSO, named MPSO, in which mutation operator is added as genetic algorithm. The mutation operator can mutate the population, and then help the particles escape from local optima. Experiments on five benchmark functions showed the PSO with mutation operator not only enlarged particles' exploration range, but also boosted the algorithm's convergence.