A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm
Joint Authors
Sheng, Zhou
Ouyang, Aijia
Liu, Li-Bin
Wu, Fan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-02
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Nonlinear Muskingum models are important tools in hydrological forecasting.
In this paper, we have come up with a class of new discretization schemes including a parameter θ to approximate the nonlinear Muskingum model based on general trapezoid formulas.
The accuracy of these schemes is second order, if θ ≠ 1 / 3 , but interestingly when θ = 1 / 3 , the accuracy of the presented scheme gets improved to third order.
Then, the present schemes are transformed into an unconstrained optimization problem which can be solved by a hybrid invasive weed optimization (HIWO) algorithm.
Finally, a numerical example is provided to illustrate the effectiveness of the present methods.
The numerical results substantiate the fact that the presented methods have better precision in estimating the parameters of nonlinear Muskingum models.
American Psychological Association (APA)
Ouyang, Aijia& Liu, Li-Bin& Sheng, Zhou& Wu, Fan. 2015. A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1074172
Modern Language Association (MLA)
Ouyang, Aijia…[et al.]. A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1074172
American Medical Association (AMA)
Ouyang, Aijia& Liu, Li-Bin& Sheng, Zhou& Wu, Fan. A Class of Parameter Estimation Methods for Nonlinear Muskingum Model Using Hybrid Invasive Weed Optimization Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1074172
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074172