• parameter estimation of nonlinear muskingum models using the modified honey bee mating optimization

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 708
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     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 an active area of research in hydrologic engineering. although various techniques have been proposed to estimate 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 for estimating the mentioned parameters. the proposed algorithm is applied for two case studies from previous 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. 

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