This paper presents a genetic algorithm for hydro-power station scheduling.It has over existing mathematical programming methods.The GA uses a population of points at a time in contrast to the single point approach by the traditional ones.The GA will guarantee to find the global optimum. The GA has the benefit of greatly reduced memory requirement. It does not demand problem derivative.It is a good adaptive stochastic search method.A case study is given.