A Genetic Algorithm with Sexual reproduction in Image Recovering
Yani Zhu · Jisuanji fangzhen · 2006
In this paper,a genetic algorithm with age and sexual structure is proposed.Standard Genetic Algorithm has been successfully applied to many evolutionary optimization problems.But there is a 1problem of premature convergence for complex multi-model functions.To solve it,the frame and realization of this genetic algorithm are presented.Age and sexual structures are given to the individuals referring the sexual reproduction popular in nature.During 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.The testing for recovering the vague image proves that the genetic algorithm is effective.