Research of improved particle swarm optimization algorithm
Zhiping Ding · AIP conference proceedings · 2017
Because of the standard particle swarm optimization algorithm (Particle Swarm Optimization PSO) has slow convergence speed and easy to fall into the local minimum problem, in order to solve these problems, this paper proposes a multi-objective particle swarm optimization method based on improved culture. The simulation results show that the proposed algorithm is better in convergence speed and local minimum value, which shows that the improved particle swarm optimization algorithm has a good reference value.