Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/85274
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dc.creatorCarlos Conceição António
dc.creatorLuísa Natalia Hoffbauer
dc.date.accessioned2019-04-05T23:09:18Z-
dc.date.available2019-04-05T23:09:18Z-
dc.date.issued2015
dc.identifier.othersigarra:103677
dc.identifier.urihttps://hdl.handle.net/10216/85274-
dc.description.abstractIn the proposed multi-objective optimization approach the weight and the determinant of the variance-covariance matrix of the response of composite structures used in automobile applications are considered as performance and robustness functions, respectively. The Pareto front is built using a modified version of previously proposed hierarchical genetic algorithm with co-evolution of populations here denoted by MOGA-2D.
dc.language.isoeng
dc.relation.ispartofProceedings of the 6th International Conference on Mechanics and Materials in Design - M2D2015
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectEngenharia, Ciências Tecnológicas, Ciências da engenharia e tecnologias
dc.subjectEngineering, Technological sciences, Engineering and technology
dc.titleMultiobjective design of automobile composite applications based on feasibility robustness
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.authenticusP-00K-MZ3
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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