Multi-population cooperative particle swarm cultural algorithms

In multi-population cooperative particle swarm algorithms, implicit knowledge is not fully utilized to improve algorithms´ performance. A multi-population cooperative particle swarm cultural algorithms is proposed by adopting dual structure in cultural algorithm. The proportion of subpopulation influenced by each kind of knowledge is adaptively adjusted according to subpopulation´s situation. Knowledge plays a role in guiding the evolution process so as to enhance the subpopulations´ diversity. Simulation results indicate that the algorithms can effectively improve the convergence speed and overcome premature convergence.