摘要
The premature convergence often appears when using existing genetic algorithm in residual static correction, resulting in difficult realization of the global optimization. Regarding the problem, based on the model male parent group which was generated by the simulated annealing probability function the selection operator which uses natural cognation exclusion strategy replaces the matching priority selection operator in existing genetic algorithm. The results show that the method is superior than the conventional genetic method, its main representation is that the natural cognation exclusion strategy has the characteristics of the assurance of group population diversity, the inhibition of premature convergence, the expansion of the search space, and the realization of the global optimization.