The improvement of particle swarm optimization

Basic particle swarm optimization (PSO) has disadvantages about premature convergence. In order to solve these problems, this paper proposed an improved particle swarm optimization called DPSO. The velocity formula in basic PSO was divided into two parts and the two learning factors were improved. Experimental results showed that the improved method used in this paper could avoid the premature convergence problem and do well in function optimization.