针对基本遗传算法难以实际应用的困难,吸收加速遗传算法的思想,提出一种考虑隔代遗传、模仿自然界中“附势”行为的广义遗传算法,它能够保持优秀个体的多样性,利用祖辈中的优秀个体变量变化空间作为下一代个体的繁殖空间.广义遗传算法概括了基本遗传算法和加速遗传算法,对它的参数进行不同设定时,可以设计出更多种类的遗传算法.将这种算法用于水流参数反演问题中,结果表明广义遗传算法收敛速度快,反演精度高,因此具有良好的应用前景. Aiming at the difficulty of practical application of basic genetic algorithm and the idea of ​​accelerating genetic algorithm, a generalized genetic algorithm (GA) is proposed which takes into account the “offensive” behavior of every generation and mimics nature. It can maintain the diversity of excellent individuals, Of the individual variable space as the breeding space for the next generation of individuals.Generalized genetic algorithm summarizes the basic genetic algorithm and accelerated genetic algorithm, its parameters set different parameters, you can design a more variety of genetic algorithms.This The algorithm is applied to the inversion of water flow parameters. The results show that the generalized genetic algorithm has the advantages of fast convergence and high precision of inversion, so it has a good application prospect.