Abstract: Bringing standard PSO and random particle swarm optimization(rPSO ) proposed in the paper into the framework of cultural algorithm(CA) , a novel optimization method named random particle swarm optimization based on cultural algorithm(CA-rPSO) was established. In CA-rPSO, the evolving algorithms of belief space and the population space were represented with rPSO and PSO respectivcly,forming independent and parallel "dual evolution-dual promolion" mechanism. 5 testing functions were selected to simulate and analyze CA-rPSO. The result shows that optimization performance of CA-rPSO is obviously promoted and the algorithm is simple and easy to carry out.

Key words: Particle swarm optimization,Random disturbance,Cultural algorithm