@Article{MirandaLiRoViFrSeCo:2014:WaAsUs,
               author = "Miranda, Andr{\'e} Moacir Lage and Lima, F{\'a}bio de Oliveira 
                         and Rocha, Helder Roberto de Oliveira and Vijaykumar, Nandamudi 
                         Lankalapalli and Franc{\^e}s, Carlos Renato Lisboa and Segatto, 
                         Marcelo Eduardo Vieira and Costa, Jo{\~a}o Cris{\'o}stomo Weyl 
                         Albuquerque",
          affiliation = "{Federal University of Par{\'a}} and {Federal University of 
                         Esp{\'{\i}}rito Santo} and {Federal University of 
                         Esp{\'{\i}}rito Santo} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Federal University of Par{\'a}} and 
                         {Federal University of Esp{\'{\i}}rito Santo} and {Federal 
                         University of Par{\'a}}",
                title = "Wavelength Assignment Using a Hybrid Evolutionary Computation to 
                         Reduce Cross-Phase Modulation",
              journal = "Journal of Microwaves, Optoelectronics and Electromagnetic 
                         Applications",
                 year = "2014",
               volume = "13",
               number = "1",
                pages = "1--15",
                month = "June",
             keywords = "Cross-Phase Modulation, Dense Wave Division Multiplex, 
                         Evolutionary Computation, Wavelength Assignment Algorithms.",
             abstract = "In this paper, we propose a hybrid methodology based on 
                         Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength 
                         Assignment (WA) problem in optical networks, impaired by physical 
                         layer effects. Our proposal was developed for a static scenario 
                         where the physical topology and traffic matrix are known a priori. 
                         First, we used fixed shortest-path routing to attend demand 
                         requests over the physical topology and the graph-coloring 
                         algorithm to minimize the number of necessary wavelengths. Then, 
                         we applied the genetic algorithm to solve WA. The GA finds the 
                         wavelength activation order on the wavelengths grid with the aim 
                         of reducing the Cross-Phase Modulation (XPM) effect; the variance 
                         due to the XPM was used as a function of fitness to evaluate the 
                         feasibility of the selected WA solution. Its performance is 
                         compared with the First-Fit algorithm in two different scenarios, 
                         and has shown a reduction in blocking probability up to 37.14% 
                         when considered both XPM and residual dispersion effects and up to 
                         71.42% when only considered XPM effect. Moreover, it was possible 
                         to reduce by 57.14% the number of wavelengths.",
                 issn = "2179-1074",
                label = "lattes: 9922863822347014 4 MirandaLiRoViFrSeCo:2014:WaAsUs",
             language = "en",
           targetfile = "a01v13n1.pdf",
        urlaccessdate = "18 abr. 2024"
}