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Trabajo Fin de Máster

dc.contributor.advisorPuerto Albandoz, Justoes
dc.creatorGonzález Domínguez, Gabrieles
dc.date.accessioned2022-06-21T08:11:39Z
dc.date.available2022-06-21T08:11:39Z
dc.date.issued2022-06-21
dc.identifier.citationGonzález Domínguez, G. (2022). Trabajo Fin de Máster. (Trabajo Fin de Máster Inédito). Universidad de Sevilla, Sevilla.
dc.identifier.urihttps://hdl.handle.net/11441/134535
dc.description.abstractIt is reviewes the theory involved in multicommodity-flow problems and it is analyzed several aspects concerning the optimal routing of pipelines in naval design motivated by a recent collaboration with a leading Naval Engineering company. We start by considerering branch-and-cut algorithm which is a important tool to implement some desired properties in naval design as the minimum required distance between the pipelines volumes or the minimum allowed distances between pipe elbows. We also study Lagrangian relaxation and columns generation, both imperative for a deeper comprehesion of multicommodity-flow problems. In addition, it is studied the minimum cost flows as the the most basic of all flow problems and base for solving multicommodity-flow problems. Moreover, we apply all these mathematical tools into multicommodity-flow problems. Finally, it is proposed a general methodology for the automatic routing. We construct a network-shape framework for feasible solutions of the problem and a cost-based structure for the network that incorporates diferent desired physical characteristics for the routings. Then, a multicommodity-flow based approach is proposed and a heuristic algorithm is designed to solve it that take into account some desired properties of the routes.es
dc.formatapplication/pdfes
dc.format.extent147 p.es
dc.language.isospaes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleTrabajo Fin de Másteres
dc.typeinfo:eu-repo/semantics/masterThesises
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.description.degreeUniversidad de Sevilla. Grado en Físicaes
dc.publication.endPage139es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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