Multi-objective optimization of empirical hydrological model for streamflow prediction

•The MODE-ACM algorithm is firstly introduced for parameter estimation of hydrologic model.•We propose an enhanced Pareto multi-objective differential algorithm EPMODE.•The performance of EPMODE and MODE-ACM is tested on five benchmark problems.•EPMODE and MODE-ACM are further applied to an artifici...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) 2014-04, Vol.511, p.242-253
Hauptverfasser:	Guo, Jun, Zhou, Jianzhong, Lu, Jiazheng, Zou, Qiang, Zhang, Huajie, Bi, Sheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calibration Effectiveness Empirical analysis Evolutionary algorithms Hydrological model Hydrology Mathematical models Model calibration Multi-objective optimization Optimization Pareto optimality Streamflow forecasting
Online-Zugang:	Volltext
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