Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/76664
DC FieldValueLanguage
dc.contributor.authorSalazar A, Daniel E.en_US
dc.contributor.authorRocco S, Claudio M.en_US
dc.date.accessioned2020-12-14T21:50:28Z-
dc.date.available2020-12-14T21:50:28Z-
dc.date.issued2007en_US
dc.identifier.issn0951-8320en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/76664-
dc.description.abstractThis paper extends the approach proposed by the second author in [Rocco et al. Robust design using a hybrid-cellular-evolutionary and interval-arithmetic approach: a reliability application. In: Tarantola S, Saltelli A, editors. SAMO 2001: Methodological advances and useful applications of sensitivity analysis. Reliab Eng Syst Saf 2003;79(2):149-59 [special issue]] to obtain a robust system design. The approach based on the use of evolutionary algorithms and interval arithmetic finds the maximum-volume inner box (MIB) or the maximal ranges of variation for each variable that preserve pre-specified design/performance requirements. The original single-objective formulation considers the definition of a MIB around a specified centroid (case 1), or around an unspecified centroid (case 2). In this paper, both cases were successfully modified and solved as multiple-objective (MO) problems, showing the advantages of MO formulations in a design-selection decision framework. Special attention is devoted to the unspecified centre MO problem where the computational efficiency could be a critical issue. In that sense, a new procedure based on the "percentage representation" is proposed. This approach reduces drastically the computational burden, extending the possibilities of use of robust design.en_US
dc.languageengen_US
dc.relation.ispartofReliability Engineering and System Safetyen_US
dc.sourceReliability Engineering and System Safety [ISSN 0951-8320], v. 92 (6), p. 697-706, (Junio 2007)en_US
dc.subject1207 Investigación operativaen_US
dc.subject.otherMOEAen_US
dc.subject.otherMultiple-objective optimisationen_US
dc.subject.otherPercentage representationen_US
dc.subject.otherRobust designen_US
dc.titleSolving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): A reliability applicationen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ress.2006.03.003en_US
dc.identifier.scopus33846458246-
dc.identifier.isi000245541000002-
dc.contributor.authorscopusid56240751500-
dc.contributor.authorscopusid7004508307-
dc.identifier.eissn1879-0836-
dc.description.lastpage706en_US
dc.identifier.issue6-
dc.description.firstpage697en_US
dc.relation.volume92en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid1400577-
dc.contributor.daisngid771425-
dc.description.numberofpages10en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Salazar, DE-
dc.contributor.wosstandardWOS:Rocco, CM-
dc.date.coverdateJunio 2007en_US
dc.identifier.ulpgcen_US
dc.description.jcr1,004
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
Appears in Collections:Artículos
Show simple item record

SCOPUSTM   
Citations

44
checked on Oct 6, 2024

WEB OF SCIENCETM
Citations

38
checked on Oct 6, 2024

Page view(s)

169
checked on Sep 16, 2023

Google ScholarTM

Check

Altmetric


Share



Export metadata



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