关键词: 遗传算法, 人类繁殖现象, 函数最优化, 全局最优解

Abstract: Standard Genetic Algorithm（SGA） only simulates natural evolution process simply and considers human own reproduction mode less.A genetic algorithm based on Human Reproduction Phenomenon（HRGA） has been proposed in this paper.The genetic operators of this algorithm include selection operator,help operator,crossover operator and mutation operator.The genetic individuals are separated into male individual and female individual,the age feature and consanguinity feature are fused into individuals.Two individuals with opposite sex can reproduce the next generation if they are distant consanguinity individuals and their age is allowable.So,the premature convergence of standard genetic algorithm is overcome and the convergence speed of algorithm is enhanced.Experiments have been taken on function optimization.The experimental results show that this algorithm is very strong to avoid dropping into local convergence,the global convergence speed and optimal solutions are all better than that of standard genetic algorithm.Meanwhile,the validity of this algorithm has been proved.

Key words: genetic algorithm, human reproduction phenomenon, function optimization, global optimal solution