Abstract：To avoid the problem of premature convergence and poor accuracy in later period, reinitialized part of particles during the searching process is adopted. Crossover mutation is used for optimum particles and random variation of group optimal particles is used in small range. The simulation experiment indicates that compared with the standard PSO algorithm, the improved PSO algorithm can avoid the local optimum effectively and has better convergence accuracy.
2011, Vol. 1 