Verificação da Eficiência e Eficácia de um Algoritmo Evolucionário Multi-objetivo na Calibração Automática do Modelo Hidrológico IPH II

The complex processes of the hydrological cycle can be represented through hydrological modeling, being the models that simulate the rainfall-runoff process the most used of them. These models are based in mathematical equations that describe, in a simplified way, the hydrological behavior of the basin and possess parameters that must be defined through a process of calibration. The manual calibration, by trial and error, can be a tedious task, especially when the model's user is inexperienced. The automatic calibration, however, utilizes numerical optimization techniques based in the intensive use of computers. This study presents a multi-objective evolutionary algorithm of optimization developed by Vrugt et al. (2003) and applied in the automatic calibration of the IPH II hydrological model. The obtained results are encouraging: the algorithm produced a uniform approach of the Pareto Front in all the different tests carried out, keeping well represented its extremities. Additionally this method displayed some advantages over another multi-objective evolutionary algorithm currently used for the automatic calibration of the IPH II hydrological model

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