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Título:
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Optimisation globale à complexité réduite: Application à divers problèmes industriels
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Autores:
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Ivorra, Benjamin ;
Isebe, Damien ;
Mohammadi, Bijan
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Tipo de documento:
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texto impreso
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Editorial:
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Hermes-Lavoisier, 2005
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Investigación operativa
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Tipo = Sección de libro
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Resumen:
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In this paper we introduce two main ideas : We reformulate global optimization problems in term of boundary value problem (BVP). This allow us to introduce new optimization algorithms using what is known to solve BVPs. Indeed, current optimization methods, including non-deterministic ones, are based on discretization of initial value problems for differential equations. On the other hand, we introduce low complexity sensitivity evaluation techniques using incomplete sensitivity concept, reduced complexity models and multi-level discretizations. Sensitivity knowledge permits to distinguish between points of a Pareto front in multi-criteria optimization problems characterizing these points from a robustness point of view.
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En línea:
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https://eprints.ucm.es/id/eprint/30570/1/Ivorra47.pdf
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