摘要
将遗传算法和 Rosenbrock法应用于陕西石头河水库流域 ,并对优选结果进行了比较研究。研究表明 ,只要初值选择得当 ,无论采用何种方法来优选三水源新安江模型中的 6个参数 ,均可获得相近的结果和相同的预报合格率 ,但从使用方便的角度看 ,遗传算法优于 Rosenbrock法。
In this article, the authors selected two different methods namely genetic algorithm and Rosenbrock algorithm, and used them in the Stone river Reservoir,and compared the results. The conclusion of this paper indicated that similar result and same qualification rate of forecasting could be obtained whether 6 optimal parameters in three runoff Xinan Jiang Model, are calculated, by either genetic algorithm or Rosenbrock algorithm. But genetic algorithm is better than Rosenbrock algorithm from the point of convenient use, for its virtus of rapid convergence, quick computation speed and low requirement for initial value of parameter.
出处
《水电能源科学》
2002年第1期23-25,共3页
Water Resources and Power
关键词
水文预报
参数优选
遗传算法
Rosenbrock法
江流
hydrological forecasting
parameters optimization selecting
genetic algorithm
Rosenbrock algorithm
