01416nam a2200205 a 450000100080000000500110000800800410001902400380006010000230009824501300012126001300025130000160038152006790039765000240107665300240110065300230112470000190114770000220116670000220118820841542022-05-20       2017    bl uuuu     u00u1 u    #d7 a10.1007/978-3-319-65340-2 352DOI1 aTEIXEIRA, D. B. A.  aA genetic algorithm approach for static routing and wavelength assignment in all-optical WDM networks.h[electronic resource]  aIn: EPIA CONFERENCE ON ARTIFICIAL INTELLIGENCE, 18., 2017, Porto. Progress in Artificial Intelligence. [S.l.]: Springerc2017  ap. 421-432.  aIn 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.  aComprimento de Onda  aAlgoritmo genético  aRedes ópticas WDM1 aBATISTA, C. T.1 aCARDOSO, A. J. F.1 aARAÚJO, J. de S.