RWA is one of the important functions of ASON. In this article

we only discuss optimization of wavelength in static RWA

namely finding the minimal amount of wavelength which contains the given demand and physical topology. Compared with other genetic algorithm to solve this NP-Complete problem

the genetic algorithm proposed in this article is simple and can obtain optimal resultant with great efficiency and in a short time. To get better result

we used Orthogonal experimental design to set the parameters. The simulation result compared with the ILP show that the adaptive genetic algorithm has good accuracy and high efficiency.