Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/149744
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dc.creatorCosta, L-
dc.creatorEspírito, Santo, I-
dc.creatorOliveira, P-
dc.date.accessioned2023-05-23T15:02:06Z-
dc.date.available2023-05-23T15:02:06Z-
dc.date.issued2021-
dc.identifier.issn978-3-030-57421-5-
dc.identifier.urihttps://hdl.handle.net/10216/149744-
dc.description.abstractIn this paper, a set of multiobjective engineering design problems is solved using a methodology that combines an Augmented Lagrangian technique to deal with the constraints and the Augmented Weighted Tchebycheff method to tackle the multiobjective nature of the problems to find the Pareto frontier. In order to compare and validate the performance of this strategy, the problems were also solved with gamultiobj from MATLAB™. We present the algorithm, as well as some results that seem very promising.-
dc.description.sponsorshipThis work has been supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and the European project MSCA-RISE-2015, NEWEX, with reference 734205.-
dc.language.isoeng-
dc.publisherSpringer-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/00319/2020/PT-
dc.relation.ispartofComputational Methods in Applied Sciences, vol 55-
dc.rightsrestrictedAccess-
dc.subjectEngineering optimization-
dc.subjectMulti-objective constrained optimization-
dc.subjectAugmented weighted tchebycheff-
dc.subjectAugmented lagrangian-
dc.subjectPattern search-
dc.titleSolving Multiobjective Engineering Design Problems Through a Scalarized Augmented Lagrangian Algorithm (SCAL)-
dc.typeCapítulo ou Parte de Livro-
dc.contributor.uportoInstituto de Saúde Pública da Universidade do Porto-
dc.identifier.doi10.1007/978-3-030-57422-2_4-
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-57422-2_4-
Appears in Collections:ISPUP - Capítulo ou Parte de Livro

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