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dc.date.accessioned 2016-09-22T17:45:09Z
dc.date.available 2016-09-22T17:45:09Z
dc.identifier.uri http://digital.cic.gba.gob.ar/handle/11746/4287
dc.title Simulated-Annealing Optimization for Hydrocarbon Pipeline Networks en
dc.type Artículo es
dcterms.abstract In this work the determination of optimally located pipeline networks has been proposed by means of the implementation of a metaheuristic algorithm called Simulated Annealing with GAMS (SAG) in order to find the best pipeline layout together with a subset of locations to install concentrating nodes. The strategy essentially consists of a hybridization of Simulated Annealing, combined with the well-known GAMS package. In particular, the sample cases consisted of finding the most convenient routes so as to transport natural gasoline from Santa Cruz (Argentina) gas fields to the processing plants. The SAG algorithm behaved satisfactorily because it proved to be efficient and flexible. en
dcterms.extent 10 p. es
dcterms.issued 2013-05-24
dcterms.language Inglés es
dcterms.license Attribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0) es
dcterms.subject Simulated Annealing en
dcterms.subject Pipeline Networks en
dcterms.subject Gams en
dcterms.subject Hydrocarbon en
cic.version info:eu-repo/semantics/submittedVersion es
dcterms.creator.author Rodriguez, D. A es
dcterms.creator.author Brignole, N. B es
dcterms.creator.author Oteiza, Paola P. es
cic.lugarDesarrollo Planta Piloto de Ingeniería Química es
dcterms.subject.materia Ciencias Químicas es
dcterms.identifier.url Recurso Completo es
dcterms.isPartOf.issue vol. 52, no. 25 es
dcterms.isPartOf.series Industrial & Engineering Chemistry Research (ACS Publications) es
cic.isPeerReviewed true es
cic.isFulltext true es


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