Barati, R. (2011). Parameter estimation of nonlinear Muskingum models using Nelder-Mead simplex algorithm. Journal of Hydrologic Eng., 16(11), 946-954.
Barati, R. (2013). Application of excel solver for parameter estimation of the nonlinear Muskingum models. KSCE Journal of Civil Engineering, 17(5), 1139-1148.
Chu, H.J. and Chang, L.C. (2009). Applying particle swarm optimization to parameter estimation of the nonlinear Muskingum model. Journal of Hydrologic Engineering, 14(9), 1024-1027.
Das, A. (2004). Parameter estimation for Muskingum models. Journal of Irrigation and Drainage Engineering, 130(2), 140-147.
Geem, Z.W. (2006). Parameter estimation for the nonlinear Muskingum model using the BFGS technique. Journal of irrigation and drainage engineering, 132(5), 474-478.
Geem, Z.W. (2011). Parameter estimation of the nonlinear Muskingum model using parameter-setting-free harmony search. Journal of Hydrologic Engineering, 16(8), 684-688.
Gill, M.A. (1978). Flood routing by the Muskingum method. Journal of hydrology, 36(3-4), 353-363.
Hamedi, F., Bozorg-Haddad, O., Pazoki, M., Asgari, H.R., Parsa, M. and Loaiciga, H.A. (2016). Parameter estimation of extended nonlinear Muskingum models with the weed optimization algorithm. Journal of Irrigation and Drainage Engineering, 142(12), 04016059.
Kang, L. and Zhang, S. (2016). Application of the elitist-mutated PSO and an improved GSA to estimate parameters of linear and nonlinear Muskingum flood routing models. PLOS one, 11(1), e0147338.
Karahan, H., Gurarslan, G. and Geem, Z.W. (2012). Parameter estimation of the nonlinear Muskingum flood-routing model using a hybrid harmony search algorithm. Journal of Hydrologic Engineering, 18(3), 352-360.
Kim, J.H., Geem, Z.W. and Kim, E.S. (2001. Parameter estimation of the nonlinear Muskingum model using harmony search. JAWRA Journal of the American Water Resources Association, 37(5), 1131-1138.
Luo, J. and Xie, J. (2010). Parameter estimation for nonlinear Muskingum model based on immune clonal selection algorithm. Journal of Hydrologic Engineering, 15(10), 844-851.
McCarthy, G. T. (1938). The unit hydrograph and flood routing. Conf. of North Atlantic Division, U.S. Army Corps of Engineers, Rhode Island.
Moghaddam, A., Behmanesh, J. and Farsijani, A. (2016). Parameters estimation for the new four-parameter nonlinear Muskingum model using the particle swarm optimization. Water resources management, 30(7), 2143-2160.
Mohan, S. (1997). Parameter estimation of nonlinear Muskingum models using genetic algorithm. Journal of hydraulic engineering, 123(2), 137-142.
Najafi, R. and Hessami, M.R. (2017). Uncertainty modeling of statistical downscaling to assess climate change impacts on temperature and precipitation. Water resources management, 31(6), 1843-1858.
Niazkar, M. and Afzali, S.H. (2014). Assessment of modified honey bee mating optimization for parameter estimation of nonlinear Muskingum models. Journal of Hydrologic Engineering, 20(4), 04014055.
Niazkar, M. and Afzali, S.H. (2016). Application of new hybrid optimization technique for parameter estimation of new improved version of Muskingum model. Water resources management, 30(13), 4713-4730.
O'Donnell, T. (1985). A direct three-parameter Muskingum procedure incorporating lateral inflow. Hydrological Sciences Journal, 30(4), 479-496.
Raina, R. and Thomas, M. (2012). Fuzzy vs. probabilistic techniques to address uncertainty for radial distribution load flow simulation. Energy and Power Engineering, 4(02), 99.
Rashedi, E., Nezamabadi-Pour, H. and Saryazdi, S. (2009). GSA: a gravitational search algorithm. Information sciences, 179(13), 2232-2248.
Sarafrazi, S., Nezamabadi-pour, H. and Seydnejad, S. R. (2015). A novel hybrid algorithm of GSA with Kepler algorithm for numerical optimization. Journal of King Saud University-Computer and Information Sciences, 27(3), 288-296.
Tung, Y.K. (1985). River flood routing by nonlinear Muskingum method. Journal of hydraulic engineering, 111(12), 1447-1460.
Varón-Gaviria, C.A., Barbosa-Fontecha, J. L. and Figueroa-García, J. C. (2017). Fuzzy uncertainty in random variable generation: An α-cut approach. International Conference on Intelligent Computing, pp. 264-273. Springer, Cham.
Viessman, W. and Lewis, G.L. (2003). Introduction to hydrology, 5th Ed, New Delhi, India.
Wilson, E., M. (1974). Engineering hydrology, Hampshire, United Kingdom: Macmillan Education.
Xu, D.M., Qiu, L. and Chen, S.Y. (2012). Estimation of nonlinear Muskingum model parameter using differential evolution. Journal of Hydrologic Engineering, 17(2), 348-353.
Yoo, C., Lee, J. and Lee, M. (2017). Parameter Estimation of the Muskingum Channel Flood-Routing Model in Ungauged Channel Reaches. Journal of Hydrologic Engineering, 22(7), 05017005.
Yoon, J. and Padmanabhan, G. (1993). Parameter estimation of linear and nonlinear Muskingum models. Journal of Water Resources Planning and Management, 119(5), 600-610.
Yuan, X., Wu, X., Tian, H., Yuan, Y. and Adnan, R.M. (2016). Parameter identification of nonlinear Muskingum model with backtracking search algorithm. Water resources management, 30(8), 2767-2783.
Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
)
