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Home > Archive>Volume 27, Issue 12, 2018 >198-203. DOI:10.15888/j.cnki.csa.006711
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Application of Grey Wolf Optimizer to Parameter Estimation to Muskingum Routing Model
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    Abstract:

    In order to improve the computation accuracy of the Muskingum flood routing model, a new method of parameter estimation for Muskingum model based on the improved grey wolf optimizer (IGWO) is proposed and applied to the flood calculation in the south canal between Chenggouwan and Linqing River. The experimental results show that IGWO can effectively estimate the parameters of the Muskingum model. Compared with the other parameter estimation methods of Muskingum routing model, IGWO has higher calculation accuracy and better optimization performance.

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王梦娜,王秋萍,王晓峰.灰狼优化算法在马斯京根模型参数估计中的应用.计算机系统应用,2018,27(12):198-203

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History
  • Received:June 06,2018
  • Revised:June 27,2018
  • Online: December 05,2018
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