Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/72725
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Salazar, Daniel | en_US |
dc.contributor.author | Rocco, Claudio M. | en_US |
dc.contributor.author | Galván González, Blas José | en_US |
dc.date.accessioned | 2020-05-21T20:40:46Z | - |
dc.date.available | 2020-05-21T20:40:46Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.issn | 0951-8320 | en_US |
dc.identifier.other | WoS | - |
dc.identifier.uri | http://hdl.handle.net/10553/72725 | - |
dc.description.abstract | This paper illustrates the use of multi-objective optimization to solve three types of reliability optimization problems: to find the optimal number of redundant components, find the reliability of components, and determine both their redundancy and reliability. In general, these problems have been formulated as single objective mixed-integer non-linear programming problems with one or several constraints and solved by using mathematical programming techniques or special heuristics. In this work, these problems are reformulated as multiple-objective problems (MOP) and then solved by using a second-generation Multiple-Objective Evolutionary Algorithm (MOEA) that allows handling constraints. The MOEA used in this paper (NSGA-II) demonstrates the ability to identify a set of optimal solutions (Pareto front), which provides the Decision Maker with a complete picture of the optimal solution space. Finally, the advantages of both MOP and MOEA approaches are illustrated by solving four redundancy problems taken from the literature. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Reliability Engineering and System Safety | en_US |
dc.source | Reliability Engineering & System Safety [ISSN 0951-8320], v. 91 (9), p. 1057-1070, (Septiembre 2006) | en_US |
dc.subject | 1207 Investigación operativa | en_US |
dc.subject.other | Design | en_US |
dc.subject.other | Constrained optimization | en_US |
dc.subject.other | Moea | en_US |
dc.subject.other | Multiple-objective optimization | en_US |
dc.subject.other | Redundancy allocation and reliability optimization | en_US |
dc.title | Optimization of constrained multiple-objective reliability problems using evolutionary algorithms | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.ress.2005.11.040 | en_US |
dc.identifier.isi | 000239648900008 | - |
dc.description.lastpage | 1070 | en_US |
dc.identifier.issue | 9 | - |
dc.description.firstpage | 1057 | en_US |
dc.relation.volume | 91 | en_US |
dc.investigacion | Ciencias | en_US |
dc.type2 | Artículo | en_US |
dc.contributor.daisngid | 1400577 | - |
dc.contributor.daisngid | 771425 | - |
dc.contributor.daisngid | 1678121 | - |
dc.description.numberofpages | 14 | en_US |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | WOS:Salazar, D | - |
dc.contributor.wosstandard | WOS:Rocco, CM | - |
dc.contributor.wosstandard | WOS:Galvan, BJ | - |
dc.date.coverdate | Septiembre 2006 | en_US |
dc.identifier.ulpgc | Sí | es |
dc.description.jcr | 0,92 | |
dc.description.jcrq | Q1 | |
dc.description.scie | SCIE | |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
crisitem.author.dept | GIR SIANI: Computación Evolutiva y Aplicaciones | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Galvan Gonzalez,Blas Jose | - |
Appears in Collections: | Artículos |
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