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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54348
DC FieldValueLanguage
dc.contributor.authorGreiner, Daviden_US
dc.contributor.authorGalván, Blasen_US
dc.contributor.authorWinter, Gabrielen_US
dc.contributor.otherGreiner, David-
dc.date.accessioned2019-02-18T10:14:50Z-
dc.date.available2019-02-18T10:14:50Z-
dc.date.issued2003en_US
dc.identifier.isbn3-540-01869-7-
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/54348-
dc.description.abstractIn this work new safety systems multiobjective optimum design methodologies are introduced and compared. Various multicriteria evolutionary algorithms are analysed (SPEA2, NSGAII and controlled elitist-NSGAII) and applied to a Containment Spray Injection System of a nuclear power plant. Influence of various mutation rates is considered. A double minimization is handled: unavailability and cost of the system. The comparative statistical results of the test case show a convergence study during evolution by means of certain metrics that measure front coverage and distance to the optimal front. Results succeed in solving the problem.
dc.languageengen_US
dc.publisher0302-9743-
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 2632, p. 722-736en_US
dc.subject1206 Análisis numéricoen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject.otherFault-Tree Analysis
dc.subject.otherGenetic Algorithms
dc.subject.otherOptimization
dc.subject.otherModels
dc.titleSafety systems optimum design by multicriteria evolutionary algorithmsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.relation.conference2nd International Conference on Evolutionary Multi-Criterion Optimization (EMO 2003)
dc.identifier.scopus21144441324-
dc.identifier.isi000184815500051-
dc.contributor.authorscopusid56268125800-
dc.contributor.authorscopusid8704390300-
dc.contributor.authorscopusid7202988477-
dc.description.lastpage736-
dc.description.firstpage722-
dc.relation.volume2632-
dc.type2Artículoen_US
dc.identifier.wosWOS:000184815500051-
dc.contributor.daisngid1559703-
dc.contributor.daisngid1678121-
dc.contributor.daisngid1266063-
dc.identifier.investigatorRIDN-8557-2013-
dc.identifier.externalWOS:000184815500051-
dc.contributor.wosstandardWOS:Greiner, D
dc.contributor.wosstandardWOS:Galvan, B
dc.contributor.wosstandardWOS:Winter, G
dc.date.coverdateDiciembre 2003
dc.identifier.conferenceidevents120359
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate08-04-2003-
crisitem.event.eventsenddate11-04-2003-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.orcid0000-0003-0890-7267-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameGreiner Sánchez, David Juan-
crisitem.author.fullNameWinter Althaus, Gabriel-
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