Performance of a Real Coded Genetic Algorithm for the Calibration of Scalar Conservation Laws

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datacite.alternateIdentifier.citationAnziam Journal, 58 (1), 77-51, 2016
datacite.alternateIdentifier.doi10.1017/S1446181116000110
datacite.alternateIdentifier.issn1446-1811
datacite.creatorBerres, S.
datacite.creatorCoronel, A.
datacite.creatorLagos, R.
datacite.creatorSepulveda, M.
datacite.date2016
datacite.rightsRegistro bibliográfico
datacite.subjectreal coded genetic algorithm
datacite.subjectparameter identification
datacite.subjectscalar conservation laws
datacite.subjectflux identification
datacite.subjectsedimentation
datacite.titlePerformance of a Real Coded Genetic Algorithm for the Calibration of Scalar Conservation Laws
dc.date.accessioned2025-10-06T14:21:41Z
dc.date.available2025-10-06T14:21:41Z
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.description.ia_keywordproblem, optimization, scalar, conservation, laws, direct, solves
dc.identifier.issn1446-8735
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/6741
dc.language.isoen
dc.publisherCambridge University Press
dc.relationinstname: ANID
dc.relationreponame: Repositorio Digital RI2.0
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceAnziam Journal
dc.subject.ia_oecd1nCiencias Naturales
dc.subject.ia_oecd2nCiencias Biológicas
dc.subject.ia_oecd3nBiología General
dc.type.driverinfo:eu-repo/semantics/article
dc.type.driverhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaireinfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
oaire.citationEdition2016
oaire.citationEndPage77
oaire.citationIssue1
oaire.citationStartPage51
oaire.citationTitleAnziam Journal
oaire.citationVolume58
oaire.fundingReferenceCONICYT ANID FONDECYT 1120587, 11060400, 1140676 (Regular)
oaire.fundingReferenceUBB DIUBB GI 153209/C, DIUBB GI 152920/EF
oaire.fundingReferenceCONICYT Anillo ACT1118
oaire.fundingReferenceUDEC Red Doctoral REDOC.CTA UCO1202
oaire.fundingReferenceANID BASAL CMM
oaire.fundingReferenceUniversidad de Chile
oaire.fundingReferenceCI2MA UDEC
oaire.licenseConditionCopyright © Australian Mathematical Society, 2016
oaire.resourceTypeArtículo
oaire.resourceType.enArticle
uct.catalogadorjvu
uct.comunidadIngenieríaen_US
uct.departamentoDepartamento de Ciencias Matemáticas y Físicas
uct.facultadFacultad de Ingeniería
uct.indizacionScopus
uct.indizacionScimago
uct.indizacionCrossref
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