This paper presents a PSO (particle swarm optimization)-GA hybrid algorithm (PGHA) based on the advantage of PSO and GA.PGHA combines the rules of updating the velocity and situation of PSO with the idea of crossover and mutation of Gauzing PGHA and GA to experimentally deal with these two theoretical models shows that PGHA is better than GA in performance and adaptability and it is a practical method for calculating residual statics correction in complicated topographic conditions.