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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.authorMontes Castañeda, Bryan
dc.contributor.authorPatiño Garzón, Jorge
dc.contributor.authorPuerto Leguizamón, Gustavo
dc.date.accessioned2019-07-02T18:45:48Z
dc.date.available2019-07-02T18:45:48Z
dc.date.issued2015-11-01
dc.identifier.issnISSN: 2346-2183
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/60633
dc.description.abstractThis paper presents a comparative study of multiobjective algorithms to solve the routing and wavelength assignment problem in optical networks. The study evaluates five computational intelligence algorithms, namely: the Firefly Algorithm, the Differential Evolutionary Algorithm, the Simulated Annealing Algorithm and two versions of the Particle Swarm Optimization algorithm. Each algorithm is assessed based on the performance provided by two different network topologies under different data traffic loads and with a different number of wavelengths available in the network. The impact of implementing wavelength conversion processes is also taken into account in this study. Simulated results show that, in general, the evaluated algorithms appropriately solve the problem in small-sized networks in which a similar performance was found. However, key differences were found when the size of the network is significant. This means that more suitable algorithms optimize the search space and the fall into local minimums is avoided.
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
dc.relationhttps://revistas.unal.edu.co/index.php/dyna/article/view/49663
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Dyna
dc.relation.ispartofDyna
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc62 Ingeniería y operaciones afines / Engineering
dc.titleA comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks
dc.typeArtículo de revista
dc.type.driverinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.eprintshttp://bdigital.unal.edu.co/58965/
dc.relation.referencesMontes Castañeda, Bryan and Patiño Garzón, Jorge and Puerto Leguizamón, Gustavo (2015) A comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks. DYNA, 82 (194). pp. 221-229. ISSN 2346-2183
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalmultiobjective algorithms
dc.subject.proposaloptical networks
dc.subject.proposalheuristic algorithms
dc.subject.proposalRWA problem.
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit