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dc.date.accessioned 2012-09-20T13:04:28Z
dc.date.available 2012-09-20T13:04:28Z
dc.date.issued 2009
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21243
dc.description.abstract Large bandwidth on hand in WDM networks is the best choice for increasing tra c demand; although, routing and wavelength assignment (RWA) problems still remain a challenge. This work proposes a novel method to solve multicast-RWA problems, using multi-objective Particle Swarm Optimization (PSO), implementing four competitive ap- proaches of state-of-the-art. Such algorithms minimize simultaneously the hop count, the number of splitting power light, the number of split- ter node and the balancing of multicast tree for a given set of multicast demands. This way, a set of optimal solutions (known as Pareto set) is obtained in one run of the algorithms, without a priori restrictions. Sim- ulation results prove the viability of the PSO proposal and the advantage compared on classical approaches as Multicast Open Shortest Path First routing algorithm and Least Used wavelength assignment algorithm. en
dc.format.extent 1142-1151 es
dc.language en es
dc.subject routing and wavelength assignment (RWA) en
dc.subject Particle Swarm Optimization (PSO) en
dc.title Multicast routing and wavelength assignment in optical networks with particle swarm optimization en
dc.type Objeto de conferencia es
sedici.creator.person Báez, Alcides es
sedici.creator.person Pinto, Diego es
sedici.description.note IV Workshop Arquitectura, Redes y Sistemas Operativos (WARSO) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2009-10
sedici.relation.event XV Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)