Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models

摘要: AbstractBecause the nonlinear Muskingum model continues to be popular, need for precise calibration of parameters provides an active area research in hydrologic engineering. Although various techniques have been proposed estimate three model, a more accurate method with fast convergence rate is still required improve computational precision. In this research, modified honey bee mating optimization (MHBMO) algorithm routing procedure used estimation using two different objective functions. The applied case studies from previous literature and results are compared those other methods. demonstrate that MHBMO not only converges but it also captures best optimal parameter values. sensitivity analyses, carried out on control parameters, show each parameter, sta...