PERFORMANCE OF A REAL CODED GENETIC ALGORITHM FOR THE CALIBRATION OF SCALAR CONSERVATION LAWS
PERFORMANCE OF A REAL CODED GENETIC ALGORITHM FOR THE CALIBRATION OF SCALAR CONSERVATION LAWS
Authors
Berres, Stefan
Coronel, A.
Lagos, R.
Sepulveda, M.
Coronel, A.
Lagos, R.
Sepulveda, M.
Authors
Date
Datos de publicaciĆ³n:
ANZIAM JOURNAL,Vol.58,51-77,2016
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Abstract
This paper deals with the flux identification problem for scalar conservation laws. The problem is formulated as an optimization problem, where the objective function compares the solution of the direct problem with observed profiles at a fixed time. A finite volume scheme solves the direct problem and a continuous genetic algorithm solves the inverse problem. The numerical method is tested with synthetic experimental data. Simulation parameters are recovered approximately. The tested heuristic optimization technique turns out to be more robust than classical optimization techniques.