Abstract：The nature of computation of residual statics is non linear optimum problem. Faced with the disadvantages of slower computational speed and lower precision that are characters using genetic algorithm or simulated annealing algorithm alone to compute residual statics, the paper presented an automatic residual static corrections characterized by hybrid global optimization,i, e. an optimized algorithm developed by using the both advantages (genetic algorithm has strong ability to search globally and simulated annealing algorithm has strong ability to search locally). The paper deeply studied processing flow and implemented techniques of hybrid global optimum automatic residual static corrections. It is seen from test computation of model data and real data in some areas of the west of China that the hybrid optimum technique is superior to other methods both in computational speed and in precision of solution.
