Calibration of a sedimentation model through a continuous genetic algorithm
Calibration of a sedimentation model through a continuous genetic algorithm
Authors
Coronel, Aníbal
Berres, Stefan
Lagos, Richard
Berres, Stefan
Lagos, Richard
Authors
Date
2019-08-30
Datos de publicación:
10.1080/17415977.2018.1508289
Keywords
Calibración - Algoritmos Genéticos - Algoritmos Genéticos Continuos
Collections
Abstract
In this contribution we consider the problem of flux identification in a scalar conservation law modelling the phenomenon of sedimentation. The experimental observation data used for the calibration consist of a solid concentration profile at a fixed time. The identification problem is formulated as an optimization one, where the distance between the profiles of the model simulation and observation data is minimized by a least squares cost function. The direct problem is approximated by a monotone finite volume scheme. The numerical solution of the calibration problem is obtained by a continuous genetic algorithm. Numerical results are presented in order to validate the efficiency of the proposed algorithm.