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Calibration of Xinanjiang model parameters using hybrid genetic algorithm based fuzzy optimal model

机译：基于混合遗传算法的模糊最优模型对新安江模型参数的标定

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摘要

Conceptual rainfall-runoff (CRR) model calibration is a global optimization problem with the main objective to find a set of optimal model parameter values that attain a best fit between observed and simulated flow. In this paper, a novel hybrid genetic algorithm (GA), which combines chaos and simulated annealing (SA) method, is proposed to exploit their advantages in a collaborative manner. It takes advantage of the ergodic and stochastic properties of chaotic variables, the global search capability of GA and the local optimal search capability of SA method. First, the single criterion of the mode calibration is employed to compare the performance of the evolutionary process of iteration with GA and chaos genetic algorithm (CGA). Then, the novel method together with fuzzy optimal model (FOM) is investigated for solving the multi-objective Xinanjiang model parameters calibration. Thirty-six historical floods with one-hour routing period for 5 years (2000-2004) in Shuangpai reservoir are employed to calibrate the model parameters whilst 12 floods in two recent years (2005-2006) are utilized to verify these parameters. The performance of the presented algorithm is compared with GA and CGA. The results show that the proposed hybrid algorithm performs better than GA and CGA.
机译：概念性降雨径流（CRR）模型校准是一个全球性优化问题，其主要目的是找到一组最佳模型参数值，以在观测流量和模拟流量之间实现最佳拟合。本文提出了一种新颖的混合遗传算法（GA），将混沌和模拟退火（SA）方法相结合，以协作的方式利用它们的优势。它利用了混沌变量的遍历和随机特性，遗传算法的全局搜索能力和遗传算法的局部最优搜索能力。首先，采用模式校准的单一标准来比较GA和混沌遗传算法（CGA）的迭代演化过程的性能。然后，研究了该新方法与模糊最优模型（FOM）一起解决新安江模型参数多目标标定问题。利用双牌水库的36条历史洪水（历时1小时，为期5年（2000-2004年））来校准模型参数，同时利用最近两年（2005-2006年）的12次洪水来验证这些参数。将该算法的性能与GA和CGA进行了比较。结果表明，提出的混合算法性能优于GA和CGA。

著录项

  • 来源
    《Journal of Hydroinformatics》 |2012年第3期|p.784-799|共16页
  • 作者

    Wen-Chuan Wang; Chun-Tian Cheng; Kwok-Wing Chau; Dong-Mei Xu;

  • 作者单位

    Faculty of Water Conservancy Engineering, North China Institute of water Conservancy and Hydroelectric Power, Zhengzhou 150011, China;

    Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116085, China;

    Department of Civil and Structural Engineering, Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong Kong, China;

    Faculty of Water Conservancy Engineering, North China Institute of water Conservancy and Hydroelectric Power, Zhengzhou 150011, China,Institute of Water Resources & Flood Control, Dalian university of Technology, Dalian 116085, China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    chaos genetic algorithm; flood forecasting; fuzzy multi-objective optimization; simulated annealing; xinanjiang model calibration;

    机译：混沌遗传算法洪水预报;模糊多目标优化;模拟退火新安江模型标定;

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