Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/47974

TitleEvolutionary computation at work for the optimization of link state routing protocols
Author(s)Pereira, Vitor
Sousa, Pedro
Rocha, Miguel
Keywordsevolutionary computation
traffic engineering
Issue date2017
PublisherACM
CitationPereira, 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
Abstract(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.
TypeConference paper
URIhttp://hdl.handle.net/1822/47974
ISBN978-1-4503-4939-0
DOI10.1145/3067695.3076110
Publisher versionhttp://gecco-2017.sigevo.org
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Artigos em Livros de Atas / Papers in Proceedings

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