[show abstract][hide abstract] ABSTRACT: The static RWA (routing and wavelength assignment) problem in WDM optical network is a combinatorial optimization problem fit to iterative search methods. In this paper we formulate the static RWA problem in optical networks as a single objective optimization problem and solve it in a novel way using a evolutionary algorithm. A hybrid approach based on the k-shortest path for every source-destination pair is used to initialize the population. A special cost function based on the frequency of occurrence of an edge in different source-destination paths is used to evaluate the fitness of a chromosome. A m-point crossover is used to maintain diversity in the solution space. The wavelength assignment to light paths in fittest individuals is performed using a special graph-coloring technique. We compare the single objective results with those obtained by the first-fit algorithm. We tested our algorithm on known optical networks like the ARPANet, EON, UKNet and USFNet. The representative results and the comparison show the effectiveness of our algorithm.
Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on; 02/2004