A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks

Autores
Fretes, Carmelo; Pintos Roa, Diego; Mimbi Ortiz, Ysapy
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work a new approach based on multi-objective evolutionary algorithms (MOEA) is proposed for the routing and spectrum assignment (RSA) Problem in elastic optical networks (EON); where, given a set of unicast requests, the proposed MOEA minimizes (a) the total cost, and (b) the spectrum used, simultaneously under optical layer constraints. The test experimental indicates that the proposal is suitable for the RSA when it is compared to another MOEA of the-state-of-the-art considering different quality measures. Basically, the proposed MOEA sequences the requests to be served under random-and-cost based strategy while that considered the-state-of-the-art is just random.
XIII Workshop Arquitectura, Redes (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/73350
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/73350
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networksFretes, CarmeloPintos Roa, DiegoMimbi Ortiz, YsapyCiencias Informáticasrouting and spectrum assignmentelastic optical networksmultiobjective optimizationevolutionary algorithmsIn this work a new approach based on multi-objective evolutionary algorithms (MOEA) is proposed for the routing and spectrum assignment (RSA) Problem in elastic optical networks (EON); where, given a set of unicast requests, the proposed MOEA minimizes (a) the total cost, and (b) the spectrum used, simultaneously under optical layer constraints. The test experimental indicates that the proposal is suitable for the RSA when it is compared to another MOEA of the-state-of-the-art considering different quality measures. Basically, the proposed MOEA sequences the requests to be served under random-and-cost based strategy while that considered the-state-of-the-art is just random.XIII Workshop Arquitectura, Redes (WARSO)Red de Universidades con Carreras en Informática (RedUNCI)2018-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf735-744http://sedici.unlp.edu.ar/handle/10915/73350enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:53:19Zoai:sedici.unlp.edu.ar:10915/73350Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:53:19.306SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
title A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
spellingShingle A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
Fretes, Carmelo
Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
title_short A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
title_full A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
title_fullStr A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
title_full_unstemmed A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
title_sort A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
dc.creator.none.fl_str_mv Fretes, Carmelo
Pintos Roa, Diego
Mimbi Ortiz, Ysapy
author Fretes, Carmelo
author_facet Fretes, Carmelo
Pintos Roa, Diego
Mimbi Ortiz, Ysapy
author_role author
author2 Pintos Roa, Diego
Mimbi Ortiz, Ysapy
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
topic Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
dc.description.none.fl_txt_mv In this work a new approach based on multi-objective evolutionary algorithms (MOEA) is proposed for the routing and spectrum assignment (RSA) Problem in elastic optical networks (EON); where, given a set of unicast requests, the proposed MOEA minimizes (a) the total cost, and (b) the spectrum used, simultaneously under optical layer constraints. The test experimental indicates that the proposal is suitable for the RSA when it is compared to another MOEA of the-state-of-the-art considering different quality measures. Basically, the proposed MOEA sequences the requests to be served under random-and-cost based strategy while that considered the-state-of-the-art is just random.
XIII Workshop Arquitectura, Redes (WARSO)
Red de Universidades con Carreras en Informática (RedUNCI)
description In this work a new approach based on multi-objective evolutionary algorithms (MOEA) is proposed for the routing and spectrum assignment (RSA) Problem in elastic optical networks (EON); where, given a set of unicast requests, the proposed MOEA minimizes (a) the total cost, and (b) the spectrum used, simultaneously under optical layer constraints. The test experimental indicates that the proposal is suitable for the RSA when it is compared to another MOEA of the-state-of-the-art considering different quality measures. Basically, the proposed MOEA sequences the requests to be served under random-and-cost based strategy while that considered the-state-of-the-art is just random.
publishDate 2018
dc.date.none.fl_str_mv 2018-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/73350
url http://sedici.unlp.edu.ar/handle/10915/73350
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-658-472-6
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
735-744
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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