Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/47974

TítuloEvolutionary computation at work for the optimization of link state routing protocols
Autor(es)Pereira, Vitor
Sousa, Pedro
Rocha, Miguel
Palavras-chaveevolutionary computation
traffic engineering
Data2017
EditoraACM
CitaçãoPereira, Vitor; Sousa, Pedro; Rocha, Miguel, Evolutionary Computation at Work for the Optimization of Link State Routing Protocols. GECCO '17 - The Genetic and Evolutionary Computation Conference. Berlin, Germany, July 15-19, ACM, 299-300, 2017. ISBN: 978-1-4503-4939-0
Resumo(s)This work explores the optimization of a real-valued parameter, assigned to each network node running the Distributed Exponentially-weighted Flow SpliTting (DEFT) routing protocol, in order to address changes on traffic conditions. This new proposal avoids the need to alter link weights and forwarding paths, by adjusting traffic splitting. In this context, we explore the use of Evolutionary Algorithms both in single and multi-objective optimization problems, to obtain solutions that minimize network's congestion.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/47974
ISBN978-1-4503-4939-0
DOI10.1145/3067695.3076110
Versão da editorahttp://gecco-2017.sigevo.org
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Artigos em Livros de Atas / Papers in Proceedings

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