Makale detayı · 2013
Parameter Estimation of the Nonlinear Muskingum Flood Routing Model Using a Hybrid Harmony Search Algorithm
Dergi
Journal of Hydrologic EngineeringISSN 1084-0699
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- Yıl
- 2013
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Journal of Hydrologic Engineering
- Katalog eşleşmesi (ISSN) Journal of Hydrologic Engineering - ASCE
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
In this paper, a hybrid harmony search (HS) algorithm is proposed for the parameter estimation of the nonlinear Muskingum model. The BFGS algorithm is used as local search algorithm with a low probability for accelerating the HS algorithm. In the proposed technique, an indirect penalty function approach is imposed on the model to prevent negativity of outflows and storages. The proposed algorithm finds the global or near-global minimum regardless of the initial parameter values with fast convergence. The proposed algorithm found the best solution among 12 different methods. The results demonstrate that the proposed algorithm can be applied confidently to estimate optimal parameter values of the nonlinear Muskingum model. Moreover, this hybrid methodology may be applicable to any continuous engineering optimization problems.
Konular
Atıflar
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149 atıf
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Yerel katalogda bu makaleye atıf yapan 14 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- A new partitioning approach for nonlinear Muskingum flood routing models with lateral flow contribution 2017
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