Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/351064
Full metadata record
DC FieldValueLanguage
dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSerpa, Alberto Luizpt_BR
dc.typeArtigopt_BR
dc.titleEnsemble of metamodels : extensions of the least squares approach to efficient global optimizationpt_BR
dc.contributor.authorWallace G. Ferreirapt_BR
dc.contributor.authorAlberto L. Serpapt_BR
dc.subjectOtimização globalpt_BR
dc.subjectInterpolaçãopt_BR
dc.subjectGlobal optimizationpt_BR
dc.subjectInterpolationpt_BR
dc.description.abstractIn this work we present LSEGO, an approach to drive efficient global optimization (EGO), based on LS (least squares) ensemble of metamodels. By means of LS ensemble of metamodels it is possible to estimate the uncertainty of the prediction with any kind opt_BR
dc.relation.ispartofStructural and multidisciplinary optimizationpt_BR
dc.relation.ispartofabbreviationpt_BR
dc.publisher.cityHeidelbergpt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2018pt_BR
dc.date.monthofcirculationjan.pt_BR
dc.language.isoengpt_BR
dc.description.volume57pt_BR
dc.description.issuenumber1pt_BR
dc.description.firstpage131pt_BR
dc.description.lastpage159pt_BR
dc.rightsfechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.issn1615-147Xpt_BR
dc.identifier.eissn1615-1488pt_BR
dc.identifier.doi10.1007/s00158-017-1745-xpt_BR
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00158-017-1745-xpt_BR
dc.description.sponsorshipSem informaçãopt_BR
dc.description.sponsorship1Sem informaçãopt_BR
dc.description.sponsordocumentnumberSem informaçãopt_BR
dc.date.available2020-10-14T19:18:14Z-
dc.date.accessioned2020-10-14T19:18:14Z-
dc.description.provenanceMade available in DSpace on 2020-10-14T19:18:14Z (GMT). No. of bitstreams: 1 2-s2.0-85021824553.pdf: 4744686 bytes, checksum: 0fdb12b7cd122095a2e1bc31357f2318 (MD5) Previous issue date: 2018en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/351064-
dc.contributor.departmentDepartamento de Mecânica Computacionalpt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.identifier.source2-s2.0-85021824553pt_BR
dc.creator.orcid0000-0001-7380-3099pt_BR
dc.type.formArtigopt_BR
Appears in Collections:FEM - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
2-s2.0-85021824553.pdf4.63 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.