Parameter Estimation of Nonlinear Muskingum Models Using the Modified Honey Bee Mating Optimization

Since the relationship between weighted-flow and storage volume exists in most rivers tends to be a nonlinear one, the need for precise calibration of the nonlinear Muskingum model parameters provides anactive area of research in hydrologic engineering. Although various techniques have been proposed toestimate the three parameters in nonlinear Muskingum model, a more accurate method with the fast convergence rate is still required to improve the computational precision. In the present paper, the Modified Honey Bee Mating Optimization (MHBMO) with the modified routing procedure is utilized forestimating the mentioned parameters. The proposed algorithm is applied for two case studies fromprevious literature and the results are compared with the other proposed methods. The results demonstrate that not only the MHBMO algorithm converges so quickly but also it captures the best optimal parameters values

Keywords:

Nonlinear Muskingum model , Optimization , MHBMO algorithm , Flood routing