SciELO - Scientific Electronic Library Online

 
vol.21 número3Metodología de Evaluación de los Pararrayos de Carburo de SilicioOcultamiento del Mensaje de Señales de Voz usando la Transformada de Ondita Haar Discreta índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

Compartir


Información tecnológica

versión On-line ISSN 0718-0764

Resumen

RODRIGUEZ, Arturo B  y  SAAVEDRA, Fideromo. Optimization of Genetic Algorithms for the Integral Solution of Routing Wavelength Assignement. Inf. tecnol. [online]. 2010, vol.21, n.3, pp.125-133. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642010000300014.

In presented article, it looks for a new form to solve to the problem of routing and allocation of wavelength in networks photons (RWA - Routing Wavelength Assignement). This problem has been solved dividing it in 2 subproblems, and applying to different algorithms optimizers, among them are the genetic algorithms, he himself who is used in this investigation, nevertheless has seted out the solution without dividing it, solving it of integral way. The investigation analyzes some parameters of the genetic algorithms, and they are optimized for the later use in the resolution of problem RWA. For it, simulations were made in scenes of dynamic traffic in network NSFNET. It was managed to determine the position of the reproduction, the size of reproduction and the loss of life, that optimizes the algorithm, in this work was not used mutation, due to its little relevance in improving the algorithm. Later simulations of the optimized algorithm were made in the same network, under dynamic traffic, these results will be shown in a next publication.

Palabras clave : network; NSFNET; genetic algorithms; wavelength; RWA.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons