Multi-objective calibration of Tank model using multiple genetic algorithms and stopping criteria

Multi-objective calibration of Tank model using multiple genetic algorithms and stopping criteria

ABSTRACT Calibration of hydrologic models estimates parameter values that cannot be measured and enable the rainfall-runoff processes simulation. Multi-objective evolutionary algorithms can make the calibration faster and more efficient through an iterative process. However, the standard stopping cr...

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Bibliographic Details
Main Authors: Juan Carlos Ticona Gutierrez, Cassia Brocca Caballero, Sofia Melo Vasconcellos, Franciele Maria Vanelli, Juan Martín Bravo
Format: Article
Language:English
Published: Associação Brasileira de Recursos Hídricos 2022-11-01
Series:Revista Brasileira de Recursos Hídricos
Subjects:
Multi-objective evolutionary algorithm
Tank model
Stopping criterion
NSGA-II
NSGA-III
SPEA-II
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100230&lng=en&tlng=en

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