Multiobjective multicast routing with Ant Colony Optimization

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 mult...

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Detalles Bibliográficos
Autores principales:	Pinto, Diego, Barán, Benjamín
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2006
Materias:	Ciencias Informáticas MultiObjective Ant Colony System (MOACS) Multiobjective Multicast Algorithm (MMA) Network Protocols Internet (e.g., TCP/IP) Algorithms
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/24116
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-24116
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 MultiObjective Ant Colony System (MOACS) Multiobjective Multicast Algorithm (MMA) Network Protocols Internet (e.g., TCP/IP) Algorithms
spellingShingle	Ciencias Informáticas MultiObjective Ant Colony System (MOACS) Multiobjective Multicast Algorithm (MMA) Network Protocols Internet (e.g., TCP/IP) Algorithms Pinto, Diego Barán, Benjamín Multiobjective multicast routing with Ant Colony Optimization
topic_facet	Ciencias Informáticas MultiObjective Ant Colony System (MOACS) Multiobjective Multicast Algorithm (MMA) Network Protocols Internet (e.g., TCP/IP) Algorithms
description	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.
format	Objeto de conferencia Objeto de conferencia
author	Pinto, Diego Barán, Benjamín
author_facet	Pinto, Diego Barán, Benjamín
author_sort	Pinto, Diego
title	Multiobjective multicast routing with Ant Colony Optimization
title_short	Multiobjective multicast routing with Ant Colony Optimization
title_full	Multiobjective multicast routing with Ant Colony Optimization
title_fullStr	Multiobjective multicast routing with Ant Colony Optimization
title_full_unstemmed	Multiobjective multicast routing with Ant Colony Optimization
title_sort	multiobjective multicast routing with ant colony optimization
publishDate	2006
url	http://sedici.unlp.edu.ar/handle/10915/24116
work_keys_str_mv	AT pintodiego multiobjectivemulticastroutingwithantcolonyoptimization AT baranbenjamin multiobjectivemulticastroutingwithantcolonyoptimization
bdutipo_str	Repositorios
_version_	1764820466633015298

Multiobjective multicast routing with Ant Colony Optimization

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