摘要
本文提出求解水电站厂内经济运行问题的新方法———遗传算法，它不同于常规优化算法的特点在于，从多个初值点开始，沿多路径搜索实现全局或准全局最优，计算过程中不需要存储状态或决策变量的离散点，大大减少计算机内存，不必求导计算，编程简单，是一种有效的自适应随机搜索算法。
This paper presents a genetic algorithm for hydro-power station economic dispatch 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 optimal solution by GA is no longer dependent on initial search values 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
