A hybrid PSO algorithm based on tendency cognition

In this paper a hybrid particle swarm optimization algorithm based on tendency cognition is presented. It combines tendency cognition, ensemble learning, and subpopulation strategies together. The first one increases the convergent speed and ensemble learning can achieve a more accurate result by combining particles. The last one increases the diversity. And this algorithm is compared with standard PSO and some other improved PSO to illustrate how it can benefit from these strategies.