dc.creatorGutiérrez, César
dc.creatorLópez, Rubén
dc.creatorNovo, Vicente
dc.date2015-11-16T19:55:25Z
dc.date2015-11-16T19:55:25Z
dc.date2014
dc.identifierJournal of Optimization Theory and Applications 162
dc.identifier1573-2878
dc.identifierhttp://repositoriodigital.ucsc.cl/handle/25022009/284
dc.descriptionArtículo de publicación ISI
dc.descriptionThis work focuses on the nonemptiness and boundedness of the sets of efficient and weak efficient solutions of a vector optimization problem, where the decision space is a normed space and the image space is a locally convex Hausdorff topological linear space. By studying certain boundedness and coercivity concepts of vector-valued functions and via an asymptotic analysis, we extend to this kind of problems some well-known existence and boundedness results for efficient and weak efficient solutions of multiobjective optimization problems with Pareto or polyhedral orderings. Some of these results are proved under weaker assumptions.
dc.languageen
dc.publisherSpringer
dc.rightsAtribucion-Nocomercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourcehttp://goo.gl/XPfQLl
dc.subjectConvex vector optimization
dc.subjectEfficient solution
dc.subjectWeak efficient solution
dc.subjectExistence theorems
dc.subjectAsymptotic function
dc.subjectAsymptotic cone
dc.subjectBoundedness
dc.subjectCoercivity
dc.subjectLinear scalarization
dc.subjectDomination property
dc.titleExistence and Boundedness of Solutions in Infinite-Dimensional Vector Optimization Problems
dc.typeArtículos de revistas


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