Abstract: In this paper,a genetic algorithm based on age and sexual structures is proposed. The standard genetic algorithm has been successfully applied to many evolutionary optimization problems. But there is a problem of premature convergence for complex multi-model functions. To solve it,the frame and realization of this genetic algorithm is presented. Age and sexual structures are given to the individuals according to the sexual reproduction popular in nature. By establishing age and sexual operators,different evolutionary parameters are given to the individuals with different age and sexual structures. As a result,this genetic algorithm can combat premature convergence and keep the diversity of population,and therefore converge conveniently on global solutions.