Resumen

BERRES, Stefan; CORONEL, Aníbal  y  LAGOS, Richard. Numerical solution of an inverse problem by applying a continuous genetic algorithm. Integración - UIS [online]. 2018, vol.36, n.2, pp.67-81. ISSN 0120-419X.  https://doi.org/10.18273/revint.v36n2-2018001.

In this paper we consider the problem of flux determination in a scalar conservation law modeling 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.

Palabras clave : Continuous genetic algorithm; calibration; parameter identification; sedimentation.

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