Calibration of a sedimentation model through a continuous genetic algorithm
| datacite.alternateIdentifier.citation | Inverse Problems in Science and Engineering, Vol. 27, N° 9, 1263-1278, 2019 | |
| datacite.alternateIdentifier.doi | 10.1080/17415977.2018.1508289 | es_ES |
| datacite.creator | Coronel, Aníbal | |
| datacite.creator | Berres, Stefan | |
| datacite.creator | Lagos, Richard | |
| datacite.date | 2019 | |
| datacite.date.issued | 2019-08-30 | |
| datacite.subject | Calibración | es_ES |
| datacite.subject | Algoritmos Genéticos | es_ES |
| datacite.subject | Algoritmos Genéticos Continuos | es_ES |
| datacite.title | Calibration of a sedimentation model through a continuous genetic algorithm | es_ES |
| dc.date.accessioned | 2019-08-30T20:04:44Z | |
| dc.date.available | 2019-08-30T20:04:44Z | |
| dc.description.abstract | In this contribution we consider the problem of flux identification in a scalar conservation law modelling the phenomenon of sedimentation. The experimental observation data used for the calibration consist of a solid concentration profile at a fixed time. The identification problem is formulated as an optimization one, where the distance between the profiles of the model simulation and observation data is minimized by a least squares cost function. The direct problem is approximated by a monotone finite volume scheme. The numerical solution of the calibration problem is obtained by a continuous genetic algorithm. Numerical results are presented in order to validate the efficiency of the proposed algorithm. | es_ES |
| dc.format | es_ES | |
| dc.identifier.uri | http://repositoriodigital.uct.cl/handle/10925/1992 | |
| dc.language.iso | es | es_ES |
| dc.source | Inverse Problems in Science and Engineering | es_ES |
| oaire.resourceType | Artículo de Revista | es_ES |
| uct.catalogador | mlm | es_ES |
| uct.comunidad | Ingeniería | es_ES |
| uct.indizacion | SCOPUS | es_ES |