Abstract
In this paper, we deal with the static Routing and Wavelength Assignment (RWA) problem in networks with no wavelength converters, and where a given static set of connection demands is prearranged. Our objective is to maximize the number of optical connection-requests that can be established for a given number of wavelengths. A mathematical formulation for Max-RWA was presented. In this article, we implement and compare the performance of two random search algorithms namely: the genetic algorithm and the tabu search algorithm. Using these metaheuristics we solved approximately the wavelength assignment problem for Max-RWA while we computed its routing by a deterministic method which is the backtracking. Therefore we conducted many extensive experiments under different circumstances. Diagrams and representative numerical examples indicate the accuracy of our algorithms.
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Acknowledgments
The first author would like to thank Mohammed Sahli and Abdenbi Mazoul for their helpful discussions during the coding phase. This work is supported by the National “863” High Tech Research and Development Program of China (2011AA010203), by the National Natural Science Foundation of China (61307087, 61377079), by the Hunan Provincial Natural Science Foundation of China (12JJ3070) and by the Open Fund of State Key Laboratory of Information Photonics and Optical Communications (Beijing University of Posts and Telecommunications).
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Kharroubi, F., He, J., Tang, J. et al. Evaluation performance of genetic algorithm and tabu search algorithm for solving the Max-RWA problem in all-optical networks. J Comb Optim 30, 1042–1061 (2015). https://doi.org/10.1007/s10878-013-9676-y
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DOI: https://doi.org/10.1007/s10878-013-9676-y