Abstract
Wavelength assignment is one of the most important research areas in IP/DWDM optical Internet. Taking multiple constraints into account, including cost, power, network performance etc., the wavelength assignment is made much fit to the actual network configurations, however, the problem complexity increases correspondingly, leading to the adoption of a layered solution framework. As each layer sub-problem is NP complete, soft-computing algorithms, including Simulated Annealing Algorithm (SAA) and Simulated-annealing-Genetic Algorithm (SGA), and heuristic algorithms are used jointly to design the intelligent multi-constrained wavelength assignment algorithms respectively. Simulation results have shown that these proposed algorithms are feasible and effective.
This work is supported by the National Natural Science Foundation of China under Grant No. 60473089, 60003006 (jointly supported by Bell Lab Research China) and No. 70101006; the National High-Tech Research and Development Plan of China under Grant No. 2001AA121064; the Natural Science Foundation of Liaoning Province in China under Grant No. 20032018 and No. 20032019; the Modern Distance Education Engineering Project of China MoE.
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Wang, X., Liu, C., Huang, M. (2004). Soft-Computing-Based Intelligent Multi-constrained Wavelength Assignment Algorithms in IP/DWDM Optical Internet. In: Cao, J., Yang, L.T., Guo, M., Lau, F. (eds) Parallel and Distributed Processing and Applications. ISPA 2004. Lecture Notes in Computer Science, vol 3358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30566-8_100
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DOI: https://doi.org/10.1007/978-3-540-30566-8_100
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