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dc.date.accessioned 2012-11-14T11:32:53Z
dc.date.available 2012-11-14T11:32:53Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24116
dc.description.abstract This work presents a multiobjective algorithm for multicast traffic engineering. The proposed algorithm is a new version of MultiObjective Ant Colony System (MOACS), based on Ant Colony Optimization (ACO). The proposed MOACS simultaneously optimizes the maximum link utilization, the cost of the multicast tree, the averages delay and the maximum endtoend delay. In this way, a set of optimal solutions, known as Pareto set is calculated in only one run of the algorithm, without a priori restrictions. Experimental results obtained with the proposed MOACS were compared to a recently published Multiobjective Multicast Algorithm (MMA), showing a promising performance advantage for multicast traffic engineering. en
dc.language en es
dc.subject MultiObjective Ant Colony System (MOACS) en
dc.subject Network Protocols es
dc.subject Internet (e.g., TCP/IP) es
dc.subject Multiobjective Multicast Algorithm (MMA) en
dc.subject Algorithms es
dc.title Multiobjective multicast routing with Ant Colony Optimization en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34825-5 es
sedici.creator.person Pinto, Diego es
sedici.creator.person Barán, Benjamín es
sedici.description.note 5th IFIP International Conference on Network Control & Engineering for QoS, Security and Mobility 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 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 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)