PERFORMANCE OF A REAL CODED GENETIC ALGORITHM FOR THE CALIBRATION OF SCALAR CONSERVATION LAWS

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dc.contributor.authorBerres, Stefan
dc.contributor.authorCoronel, A.
dc.contributor.authorLagos, R.
dc.contributor.authorSepulveda, M.
dc.date2016
dc.date.accessioned2021-04-30T16:59:14Z
dc.date.available2021-04-30T16:59:14Z
dc.description.abstractThis 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.
dc.identifier.citationANZIAM JOURNAL,Vol.58,51-77,2016
dc.identifier.doi10.1017/S1446181116000110
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/3758
dc.language.isoen
dc.publisherCAMBRIDGE UNIV PRESS
dc.sourceANZIAM JOURNAL
dc.subject.englishreal coded genetic algorithm
dc.subject.englishparameter identification
dc.subject.englishscalar conservation laws
dc.subject.englishflux identification
dc.subject.englishsedimentation
dc.titlePERFORMANCE OF A REAL CODED GENETIC ALGORITHM FOR THE CALIBRATION OF SCALAR CONSERVATION LAWS
dc.typeArticle
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