Impairment aware wavelength assignment for all-optical networks based on evolutionary computation

This paper presents a wavelength assignment algorithm for all optical networks. The main idea is to determine the wavelength assignment order for a first fit algorithm taking into account the physical layer effects, such as four wave mixing and residual dispersion, by using a training algorithm inspired in evolutionary computation concepts. The intelligent algorithm uses an external archive to store the best solutions. The proposed wavelength assignment algorithm was compared with others classical algorithms such as regular first fit, best fit and random. In all the cases our proposal presented a better performance.