Data/hora: 21/09/2024 08:22:49

Biblioteca(s): 	Embrapa Amazônia Oriental.	
Data corrente: 	03/01/2018	
Data da última atualização: 	20/05/2022	
Autoria: 	TEIXEIRA, D. B. A.; BATISTA, C. T.; CARDOSO, A. J. F.; ARAÚJO, J. de S.	
Afiliação: 	DIEGO BENTO AIRES TEIXEIRA, CPATU / UFPA; Cassio T. Batista, UFPA; AFONSO JORGE FERREIRA CARDOSO, CPATU; Josivaldo de S. Araújo, UFPA.	
Título: 	A genetic algorithm approach for static routing and wavelength assignment in all-optical WDM networks.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	In: EPIA CONFERENCE ON ARTIFICIAL INTELLIGENCE, 18., 2017, Porto. Progress in Artificial Intelligence. [S.l.]: Springer, 2017.	
Páginas: 	p. 421-432.	
DOI: 	10.1007/978-3-319-65340-2 35	
Idioma: 	Inglês	
Conteúdo: 	In order to transmit data efficiently over an optical network, many routing and wavelength assignment (RWA) algorithms have been proposed. This work presents a genetic algorithm that aims at solving the RWA problem, which consists of choosing the most suitable lightpath (i.e., a combination of a route and a wavelength channel) between a source-destination pair of nodes in all-optical networks. A comparison to some already known approaches in terms of blocking probability was made. Results show a reasonable performance, since the average blocking probability achieved by the genetic algorithm was lower than or relatively equivalent to the standard approaches compared.	
Palavras-Chave: 	Algoritmo genético; Redes ópticas WDM.	
Thesagro: 	Comprimento de Onda.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Amazônia Oriental (CPATU)	
Exemplares: 	CPATU - (54509-1) - UPC - AA - DD -  -  -  - DIS