单位线自动优化率定的狼群算法研究  

Wolf Pack Search Algorithm for Automatic Optimal Estimation of the Unit Hydrograph

作　　者：应碧茜 王建群[1] 毕婉 

机构地区：[1]河海大学水文水资源学院,江苏南京210098

出　　处：《人民黄河》2017年第2期18-20,共3页Yellow River

基　　金：国家自然科学基金资助项目(41371047)

摘　　要：为了探讨单位线自动优化率定的新方法,对狼群算法在单位线优化率定中的应用进行了深入研究。分析了单位线优化率定的目标函数和约束条件,建立了单位线优化率定的数学模型,给出了单位线自动优化率定的狼群算法。在寻优迭代过程中采用同倍比修正法来处理水量平衡约束,保证了狼群算法优化求解的单位线严格满足水量平衡方程;采用具有动态罚因子的罚函数法处理单位线的不合理波动,保证了单位线的光滑性,实例应用表明提出的单位线自动优化率定的狼群算法是有效的。In order to explore a new method for automatic optimal estimation of the unit hydrograph,the wolf pack search algorithm of the unit hydrograph estimation was studied. The objective function and constraint conditions were analyzed to build the mathematical model of the unit hydrograph optimal estimation and the wolf pack search algorithm of automatic optimal estimation of the unit hydrograph was proposed. At the same times ratio correction method was used to deal with the constraint condition of water balance and the water balance equation was strictly satisfied in the algorithm. The penalty function with a dynamic penalty factor was used to avoid unreasonable fluctuations and guarantee the smoothness of the unit hydrograph. Case study shows that the wolf pack search algorithm of automatic optimal estimation of the unit hydrograph is effective.

关 键 词：单位线 汇流 优化 狼群算法 

分 类 号：TV11[水利工程—水文学及水资源]