Abstract:

The basic idea of particle swarm optimization (PSO) is to obtain the optimum value of the continuous nonlinear function by simulating birds behavior such as the direction and the speed of the flight in migration and foraging aggregation. In recent years, the results improvement of the classical PSO algorithm are not obvious because of the lack of precise bionic metaphor (PBM). By introducting PBM into the PSO, a new improved PBM-PSO is set up. The results show that the improved particle swarm optimization converges more quickly and gets a more accurate solution than the classical algorithm.