Wavelength Assignment Optimization for All-Optical Networks Using Evolutionary Computation
نویسندگان
چکیده
This paper presents a novel wavelength assignment algorithm for alloptical networks. The main idea is to determine the wavelength assignment order for a first fit algorithm taking into account the physical layer effects of four wave mixing and residual dispersion by using a training algorithm inspired in evolutionary computation concepts. The intelligent algorithm presents some concepts recently proposed in the computational intelligent field, such as 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.
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