| 基于TOPSIS法的水文模型多目标参数自动优选方法研究 |
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| 引用本文： | 郭靖,郭生练,胡安焱,李超群,张俊. 基于TOPSIS法的水文模型多目标参数自动优选方法研究[J]. 水电能源科学, 2006, 24(6): 25-28 |
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| 作者姓名： | 郭靖 郭生练 胡安焱 李超群 张俊 |
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| 作者单位： | 武汉大学,水资源与水电工程科学国家重点实验室,湖北,武汉,430072 |
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| 基金项目： | 教育部科学技术研究项目;湖北省自然科学基金 |
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| 摘 要： | 将TOPSIS法与遗传算法相结合,以径流总量误差、总径流过程均方误、洪峰过程均方误和枯水过程均方误为目标函数,采用均方差确定目标函数权重,利用四个流域连续雨洪资料对新安江模型进行多目标参数优选,并与距离函数法比较,探讨其对水文模型多目标参数优选的适应性。结果表明,TOPSIS法和距离函数法模拟效果相当,基于TOPSIS法的多目标参数优选优于单目标参数优选。
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| 关 键 词： | 水文模型 多目标函数 参数优选 TOPSIS法 距离函数法 遗传算法 均方差 |
| 文章编号： | 1000-7709（2006）06-0025-04 |
| 收稿时间： | 2006-10-16 |
| 修稿时间： | 2006-10-16 |
Study on Automatic Parameter Optimization of Hydrological Model Using Multi-objective Function and TOPSIS |
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| GUO Jing,GUO Shenglian,HU Anyan,LI Chaoqun,ZHANG Jun. Study on Automatic Parameter Optimization of Hydrological Model Using Multi-objective Function and TOPSIS[J]. International Journal Hydroelectric Energy, 2006, 24(6): 25-28 |
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| Authors: | GUO Jing GUO Shenglian HU Anyan LI Chaoqun ZHANG Jun |
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| Abstract: | The TOPSIS was combined with genetic algorithm to optimize parameters of the Xinanjiang model using multi-objective function.The objectives that measure different aspects of the hydrograph include:(1)overall water balance,(2)overall shape of the hydrograph,(3)peak flows,and(4)low flows.The standard deviation function method was introduced to determine the weights of objective function.The continuous rainfall and runoff data of four basins were selected as case study.It is shown that the proposed method gave similar results in comparison with balanced aggregated objective function.The parameters optimized by using multi-objective function and TOPSIS are superior to that by using single objective function. |
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| Keywords: | hydrological model multi-objective function parameter optimization TOPSIS deviation function method genetic algorithm mean square error |
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