Bioalgorithms for optical networks: New heuristic based on hyphae

ABSTRACT Optical networks have been positioned as high-speed networks whose switches must respond to requests at rates that did not occur before, determining that static traffic evolving into dynamic traffic caused the routing problem, and the wavelength assignment cannot be solved with optimization...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Rodriguez García,Arturo, Chavez Rosales,Renato, Ganga-Muñoz,M. Angelica
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2021
Materias:	Bioalgorithms heuristics optical networks light routing
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000100063
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0718-33052021000100063
record_format	dspace
spelling	oai:scielo:S0718-330520210001000632021-04-15Bioalgorithms for optical networks: New heuristic based on hyphaeRodriguez García,ArturoChavez Rosales,RenatoGanga-Muñoz,M. Angelica Bioalgorithms heuristics optical networks light routing ABSTRACT Optical networks have been positioned as high-speed networks whose switches must respond to requests at rates that did not occur before, determining that static traffic evolving into dynamic traffic caused the routing problem, and the wavelength assignment cannot be solved with optimization processes, giving rise to the appearance of heuristic algorithms which, because they are iterative processes, do not seek to optimize and find absolute optimums. It is only necessary to find a suitable solution, and in the case of networks this means a good route without it being the optimal route. Different strategies and algorithms have been used with outstanding results, and recently bioalgorithms have appeared that allow finding solutions from a biological perspective such as genetic and bacterial algorithms. In the present investigation, an algorithm based on fungal hyphae is proposed. The comparison of similar heuristics was performed through numerical simulation, where improvements were obtained with the proposed heuristic for the indicators under study. The results are encouraging and develop a performance that stands out among bioalgorithms.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.29 n.1 20212021-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000100063en10.4067/S0718-33052021000100063
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Bioalgorithms heuristics optical networks light routing
spellingShingle	Bioalgorithms heuristics optical networks light routing Rodriguez García,Arturo Chavez Rosales,Renato Ganga-Muñoz,M. Angelica Bioalgorithms for optical networks: New heuristic based on hyphae
description	ABSTRACT Optical networks have been positioned as high-speed networks whose switches must respond to requests at rates that did not occur before, determining that static traffic evolving into dynamic traffic caused the routing problem, and the wavelength assignment cannot be solved with optimization processes, giving rise to the appearance of heuristic algorithms which, because they are iterative processes, do not seek to optimize and find absolute optimums. It is only necessary to find a suitable solution, and in the case of networks this means a good route without it being the optimal route. Different strategies and algorithms have been used with outstanding results, and recently bioalgorithms have appeared that allow finding solutions from a biological perspective such as genetic and bacterial algorithms. In the present investigation, an algorithm based on fungal hyphae is proposed. The comparison of similar heuristics was performed through numerical simulation, where improvements were obtained with the proposed heuristic for the indicators under study. The results are encouraging and develop a performance that stands out among bioalgorithms.
author	Rodriguez García,Arturo Chavez Rosales,Renato Ganga-Muñoz,M. Angelica
author_facet	Rodriguez García,Arturo Chavez Rosales,Renato Ganga-Muñoz,M. Angelica
author_sort	Rodriguez García,Arturo
title	Bioalgorithms for optical networks: New heuristic based on hyphae
title_short	Bioalgorithms for optical networks: New heuristic based on hyphae
title_full	Bioalgorithms for optical networks: New heuristic based on hyphae
title_fullStr	Bioalgorithms for optical networks: New heuristic based on hyphae
title_full_unstemmed	Bioalgorithms for optical networks: New heuristic based on hyphae
title_sort	bioalgorithms for optical networks: new heuristic based on hyphae
publisher	Universidad de Tarapacá.
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052021000100063
work_keys_str_mv	AT rodriguezgarciaarturo bioalgorithmsforopticalnetworksnewheuristicbasedonhyphae AT chavezrosalesrenato bioalgorithmsforopticalnetworksnewheuristicbasedonhyphae AT gangamunozmangelica bioalgorithmsforopticalnetworksnewheuristicbasedonhyphae
_version_	1714203487717294080

Bioalgorithms for optical networks: New heuristic based on hyphae

Ejemplares similares