3种智能优化算法在设计洪水频率曲线适线法中的应用

Design flood frequency curve optimization fitting method based on 3 intelligent optimization algorithms

【目的】研究3种智能优化算法在设计洪水频率曲线适线中的适用性。【方法】根据我国水利水电工程设计洪水计算规范适线准则,应用模拟退火算法、遗传算法和模拟退火遗传算法,按照离(残)差平方和最小准则、离(残)差绝对值和最小准则及相对离(残)差平方和最小准则,进行了设计洪水频率曲线参数的优化估计研究。【结果】实例验证表明,与传统的目估适线法相比,上述3种优化算法对设计洪水频率曲线参数估计可取得理想的适线效果。【结论】智能优化算法是一种推求设计洪水频率曲线统计参数的新途径。

[Objective] Applicability of 3 intelligent optimization algorithms for design flood frequency was studied. [Method] Based on regulation for design flood frequency computation of water resources and hydropower projects,the design flood frequency optimization curve fitting methods by simulated annealing and genetic algorithm and simulated annealing genetic algorithm are presented according to WLS and ABS and WLS criteria. [Result] The methods are applied to practical design flood frequency computation and indicate that the methods in the paper are better than empirical fitting. [Conclusion] Intelligent optimization is a new way of design flood frequency curve optimization fitting.