A Multi-objective evolutionary algorithms study applied to routing and spectrum assignment in EON networks

dc.contributorUniversidad Nacional de Asunción - Facultad Politécnica
dc.creatorFretes, Carmelo
dc.creatorPinto Roa, Diego Pedro
dc.creatorOrtiz, Ysapy
dc.date2022-04-28T00:28:11Z
dc.date2022-04-28T00:28:11Z
dc.date2018
dc.date.accessioned2023-09-25T13:30:21Z
dc.date.available2023-09-25T13:30:21Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3740
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8806698
dc.descriptionIn 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.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relationPINV15-324
dc.rightsopen access
dc.subject4 Transporte, telecomunicaciones y otras infraestructuras
dc.subjectROUTING AND SPECTRUM ASSIGNMENT
dc.subjectELASTIC OPTICAL NETWORKS
dc.subjectMULTI-OBJECTIVE OPTIMIZATION
dc.subjectEVOLUTIONARY ALGORITHMS
dc.subjectINFORMATICA
dc.titleA Multi-objective evolutionary algorithms study applied to routing and spectrum assignment in EON networks
dc.typeconference paper


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