Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/26247
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dc.contributor.advisor Tutor Robledo, Franco-
dc.contributor.advisor Tutor Risso, Claudio-
dc.contributor.author Autor Bentos, Milton-
dc.contributor.filiacion Filiación Bentos Milton, Universidad de la República (Uruguay). Facultad de Ingeniería.-
dc.date.accessioned Fecha ingreso 2020-12-29T16:23:43Z-
dc.date.available Fecha disponible 2020-12-29T16:23:43Z-
dc.date.issued Año de publicación 2019-
dc.description.abstract Resumen The Steiner Tree Problem is an umbrella of combinatorial optimization problems in graphs, most of them NP-Hard, within which, the Steiner Tree Problem in graphs (STP) is perhaps one of the most famous and widely studied. The STP consists in optimally interconnect a given set of terminal or mandatory nodes within a graph with edges of positive weights, eventually using other optional nodes. It has a wide range of applications from circuit layouts to network design, so plenty of models to find its exact solutions have been crafted. Traditionally, due to its intrinsic complexity, heuristic approaches have been used to find good quality solutions to the STP. Currently, the outstanding computing power resulting from combining developments in hardware and software capabilities makes it possible to rely upon exact formulations and generic algorithms to solve complex instances of the problem. This work introduces a flow-based mixed-integer problem formulation (MIP) for the STP using the SteinLib, a reference test-set repository. Later on, that MIP formulation is modified to solve the Quality of Service Multicast Tree problem (QoSTP). To the best of our knowledge, there is no previous MIP formulation. While existing approaches go all the way of approximation algorithms to find solutions, this MIP formulation shows promising experimental results. Optimal solutions are found for several instances, while low feasible-to-optimal gaps were obtained for most of the remaining ones.es
dc.format.extent Extensión 47 p.es
dc.format.mimetype Formato application/pdfes
dc.identifier.citation Citación Bentos, M. A new effective mathematical programming model to design CDN topology [en línea] Tesis de maestría. Montevideo : Udelar. FI. INCO, 2019.es
dc.identifier.issn ISSN 1688-2792-
dc.identifier.uri URI https://hdl.handle.net/20.500.12008/26247-
dc.language.iso Idioma enes
dc.publisher Editorial Udelar.FI.es
dc.rights Derechos Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)es
dc.rights.licence Licencia Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)es
dc.subject Palabras clave Flow-based modeles
dc.subject Palabras clave Flexible modeles
dc.subject Palabras clave Effective optimizationes
dc.subject Palabras clave Linealizationes
dc.subject Palabras clave Mixed-integer problem formulationes
dc.subject Palabras clave Ford-Fulkerson algorithmes
dc.subject Palabras clave Steiner Tree Problemes
dc.subject Palabras clave Quality of Service Multicast Tree Problemes
dc.title Título A new effective mathematical programming model to design CDN topologyes
dc.type Tipo de documento Tesis de maestríaes
thesis.degree.grantor Facultad o Servicio que otorga el Título Universidad de la República (Uruguay). Facultad de Ingenieríaes
thesis.degree.name Título Obtenido Magíster en Investigación de Operacioneses

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