Genetic Algorithm with Age Structure
Yan Yang · Jisuanji fangzhen · 2004
In this paper,a novel genetic algorithm with age structure is proposed. 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 the problem,the genetic algorithm with age structure is presented referring natural laws and the method of genetic algorithms. 1This genetic algorithm can combat premature convergence and keep the diversity of population through different operation with different age units,and thereby converge conveniently on global solutions.