dc.creatorLópez, Rubén
dc.date2015-11-19T16:03:48Z
dc.date2015-11-19T16:03:48Z
dc.date2013
dc.identifierMathematical Methods of Operations Research 78
dc.identifier1432-2994
dc.identifierhttp://repositoriodigital.ucsc.cl/handle/25022009/314
dc.descriptionArtículo de publicación ISI
dc.descriptionThe aim of this work is to study a notion of variational convergence for vector-valued functions. We show that it is suitable for obtaining existence and stability results in convex multiobjective optimization. We obtain various of properties of the variational convergence. We characterize it via the set convergence of epigraphs, coepigraphs, level sets, and some infima. We also characterize it by means of two metrics. We compare it with other notions of convergence for vector-valued functions from the literature and we show that it is more general than most of them. For obtaining the existence and stability results we employ an asymptotic method that has shown to be very useful in optimization theory. In this method we couple the variational convergence with notions of asymptotic analysis (asymptotic cones and functions).
dc.languageen
dc.publisherSpringer
dc.rightsAtribucion-Nocomercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourcehttp://goo.gl/IKr5AJ
dc.subjectAsymptotic cone and function
dc.subjectEfficient and weakly efficient minimizer
dc.subjectMultiobjective optimization
dc.subjectSet convergence
dc.subjectVariational convergence
dc.titleVariational convergence for vector-valued functions and its applications to convex multiobjective optimization
dc.typeArticle


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