SciELO - Scientific Electronic Library Online

 
vol.25 issue4Use of Artificial Neural Networks for Modeling of the Test of Compressive strength of Construction Concrete According to the Standard ASTM C39/C 39 MSimulation of an Anaerobic Sequencing batch Reactor for Hydrogen Production using Computational Fluid Dynamics author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Información tecnológica

On-line version ISSN 0718-0764

Abstract

RODRIGUEZ, Arturo B; GUTIERREZ, Antonio L; RIVERA, Luis A  and  RAMIREZ, Leonardo J. Routing and Wavelength Assignement: Comparison of Simulated Annealing and Genetics Algortihm. Inf. tecnol. [online]. 2014, vol.25, n.4, pp.13-18. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642014000400003.

In this paper compares studies over routing and wavelength assignment for better some services indicators, such as blocking probability and network utilization. In modern telecommunications are gradually subjected to increased demand, which results in higher requirements in photonic transport networks. This phenomenon forces us improve routing systems, in order to better serve current demand and have capacity of attention of future demand. The comparison is made between the algorithms Genetic Algorithms and Simulated Annealing, both simulated in the optical network NSFNET using wavelength division multiplexing WDM. The results showed that heuristic algorithms are better in dynamic demand and high charge, functioning better under stress. It is concluded that genetic algorithms provide the best solution for future demand.

Keywords : .

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License