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

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datacite.alternateIdentifier.citationANZIAM JOURNAL,Vol.58,51-77,2016
datacite.alternateIdentifier.doi10.1017/S1446181116000110
datacite.creatorBerres, Stefan
datacite.creatorCoronel, A.
datacite.creatorLagos, R.
datacite.creatorSepulveda, M.
datacite.date2016
datacite.subject.englishreal coded genetic algorithm
datacite.subject.englishparameter identification
datacite.subject.englishscalar conservation laws
datacite.subject.englishflux identification
datacite.subject.englishsedimentation
datacite.titlePERFORMANCE OF A REAL CODED GENETIC ALGORITHM FOR THE CALIBRATION OF SCALAR CONSERVATION LAWS
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.urihttp://repositoriodigital.uct.cl/handle/10925/3758
dc.language.isoen
dc.publisherCAMBRIDGE UNIV PRESS
dc.sourceANZIAM JOURNAL
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionSCI
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