Optimization problem with interval-valued random functions

dc.contributor.authorPuerta Yepes, María Eugenia
dc.creator.emailmpuerta@eafit.edu.co
dc.date.accessioned2014-12-12T15:50:18Z
dc.date.available2014-12-12T15:50:18Z
dc.date.issued2012-12-10
dc.descriptionThis paper proposes optimization with interval-valued random functions as a very natural theoretical tool for posing and solving optimization problems arising in various fields such as oil reservoir exploration and structural design, since the input data for these problems consist of large sets of inequalities, obtained by repeating a particular measurement many times. The technique of weighted sums, the Aumann’s integral and properties of interval arithmetic are used to establish necessary and sufficient conditions for the solution of these optimization problems. Moreover, we compare the numerical results obtained by applying the stochastic approach and the interval approach.spa
dc.identifier.urihttp://hdl.handle.net/10784/4618
dc.language.isoengeng
dc.publisherUniversidad EAFITspa
dc.publisher.departmentUniversidad EAFIT. Escuela de Ciencias y Humanidades. Grupo de Investigación Análisis Funcional y Aplicacionesspa
dc.publisher.programGrupo de Investigación Análisis Funcional y Aplicacionesspa
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccesseng
dc.rights.localAcceso restringidospa
dc.subject.keywordRandom setspa
dc.subject.keywordOptimizationspa
dc.subject.keywordIntervalsspa
dc.titleOptimization problem with interval-valued random functionsspa
dc.typeinfo:eu-repo/semantics/workingPaper
dc.typeworkingPapereng
dc.type.hasVersiondraftspa
dc.type.localDocumento de trabajo de investigaciónspa

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