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

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,...

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Autores principales: Fretes, Carmelo, Pintos Roa, Diego, Mimbi Ortiz, Ysapy
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/73350
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-73350
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
spellingShingle Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
Fretes, Carmelo
Pintos Roa, Diego
Mimbi Ortiz, Ysapy
A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
topic_facet Ciencias Informáticas
routing and spectrum assignment
elastic optical networks
multiobjective optimization
evolutionary algorithms
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.
format Objeto de conferencia
Objeto de conferencia
author Fretes, Carmelo
Pintos Roa, Diego
Mimbi Ortiz, Ysapy
author_facet Fretes, Carmelo
Pintos Roa, Diego
Mimbi Ortiz, Ysapy
author_sort Fretes, Carmelo
title A Multi-objective Evolutionary Algorithms Study applied to Routing and Spectrum Assignment in EON networks
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 multi-objective evolutionary algorithms study applied to routing and spectrum assignment in eon networks
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/73350
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