Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54631
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dc.contributor.authorGreiner, David
dc.contributor.authorHajela, Prabhat
dc.contributor.otherGreiner, David
dc.date.accessioned2019-02-18T12:05:09Z-
dc.date.available2019-02-18T12:05:09Z-
dc.date.issued2012
dc.identifier.issn1615-147X
dc.identifier.urihttp://hdl.handle.net/10553/54631-
dc.description.abstractThe paper presents an approach for simultaneous optimization of structural mass and reliability in discrete truss structures. In addition to member sizing, the selection of an optimal topology from a pre-specified ground structure is a feature of the proposed methodology. To allow for a global search, optimization is performed using a multiobjective evolutionary algorithm. System reliability is based on a recently developed computational approach that is efficient and could be integrated within the framework of an evolutionary optimization process. The presence of multiple allowable topologies in the optimization process was handled through co-evolution in competing subpopulations. A unique feature of the algorithm is an automatic reunification of these populations using hypervolume measure-based indicator as reunification criterion to attain greater search efficiency. Numerical experiments demonstrate the computational advantages of the proposed method. These advantages become more pronounced for large-scale optimization problems, where the standard evolutionary approach fails to produce the desired results.
dc.publisher1615-147X
dc.relation.ispartofStructural and Multidisciplinary Optimization
dc.sourceStructural and Multidisciplinary Optimization[ISSN 1615-147X],v. 45, p. 589-613
dc.subject.otherDesign Optimization
dc.subject.otherGenetic Algorithms
dc.subject.otherFrame Structures
dc.subject.otherStrategies
dc.titleTruss topology optimization for mass and reliability considerations - Co-evolutionary multiobjective formulations
dc.typeinfo:eu-repo/semantics/Article
dc.typeArticle
dc.identifier.doi10.1007/s00158-011-0709-9
dc.identifier.scopus84861347331
dc.identifier.isi000303053200010
dc.contributor.authorscopusid56268125800
dc.contributor.authorscopusid7004905736
dc.description.lastpage613
dc.description.firstpage589
dc.relation.volume45
dc.type2Artículo
dc.identifier.wosWOS:000303053200010
dc.contributor.daisngid1559703
dc.contributor.daisngid30329456
dc.contributor.daisngid420671
dc.identifier.investigatorRIDN-8557-2013
dc.contributor.wosstandardWOS:Greiner, D
dc.contributor.wosstandardWOS:Hajela, P
dc.date.coverdateAbril 2012
dc.identifier.ulpgces
dc.description.sjr1,44
dc.description.jcr1,728
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameGreiner Sánchez, David Juan-
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