Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/47974
Título: | Evolutionary computation at work for the optimization of link state routing protocols |
Autor(es): | Pereira, Vitor Sousa, Pedro Rocha, Miguel |
Palavras-chave: | evolutionary computation traffic engineering |
Data: | 2017 |
Editora: | ACM |
Citação: | Pereira, 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/47974 |
ISBN: | 978-1-4503-4939-0 |
DOI: | 10.1145/3067695.3076110 |
Versão da editora: | http://gecco-2017.sigevo.org |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_46920_1.pdf | 555,65 kB | Adobe PDF | Ver/Abrir |