Preprint 2014-17
Stefan Berres, Aníbal Coronel, Richard Lagos, Mauricio Sepúlveda:
Numerical calibration of scalar conservation law models using real coded genetic algorithm
Abstract:
This article deals with the flux identification problem in scalar conservation laws. The problem is formulated as an optimization problem, where the objective function compares the solution of the direct problem with the 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. The simulation parameters can be recovered approximately. The error depends on the parameters of the numerical scheme
