Abstract: In order to improve the optimization performance for PSO,through observation and analysis of the natural phenomenon of formation flight of geese,researchers at home proposed the geese swarm optimization algorithm(GPSO)．Although this algorithm has improved performance for PSO in some extent,the mechanism of average-weighted for GPSO is unreasonable,namely the defect of minimum optimization．For this issue,this paper proposed the geese swarm optimization algorithm based on gaussian-weighted(GWGPSO) through reasonable improvements of GPSO.The experimental results show that the new algorithm has improved these indicators,such as convergence precision,convergence rate and robustness,which proves that the gaussian-weighted method is reasonable and correct.

Key words: Particle swarm optimization,Swarm intelligence,GeesePSO,Gaussian-weighted