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Received:June 06, 2018 Revised:June 27, 2018
Received:June 06, 2018 Revised:June 27, 2018
中文摘要: 为了提高马斯京根模型在河道洪水演算过程中的求解精度，提出一种基于改进灰狼优化算法的马斯京根模型参数估计新方法，并将其应用于南运河称沟湾至临清段洪水演算.实验结果表明，改进的灰狼优化算法可以有效地估算出马斯京根模型中的参数，且与现有的马斯京根模型参数估计方法相比，该算法计算精度更高，具有更好的优化性能.
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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基金项目:国家自然科学基金（61772416）
引用文本：
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
WANG Meng-Na,WANG Qiu-Ping,WANG Xiao-Feng.Application of Grey Wolf Optimizer to Parameter Estimation to Muskingum Routing Model.COMPUTER SYSTEMS APPLICATIONS,2018,27(12):198-203
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
WANG Meng-Na,WANG Qiu-Ping,WANG Xiao-Feng.Application of Grey Wolf Optimizer to Parameter Estimation to Muskingum Routing Model.COMPUTER SYSTEMS APPLICATIONS,2018,27(12):198-203
