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A GA/Heuristic Hybrid Technique for Routing and Wavelength Assignment in WDM Networks

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Applications of Evolutionary Computing (EvoWorkshops 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3005))

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Abstract

The routing and wavelength assignment problem which is known to be NP-hard, in all-optical transport networks is considered. The present literature on this topic contains a lot of heuristics. These heuristics, however, have limited applicability because they have a number of fundamental problems including high time complexity, and lack of scalability with respect to optimal solutions. We propose a hybrid genetic algorithm/heuristic based algorithm. A cost model that incorporates a dependency on link wavelength requirements is adopted. The hybrid algorithm presented uses an object-oriented representation of networks, and incorporates four operators: semi-adaptive path mutation, single-point crossover, reroute, and shift-out. Experimental results of the test networks make clear that, when the network cost depends on heavily wavelength assignment, the proposed GA/Heuristic hybrid approach provides promising results compared to recent wavelength assignment heuristics.

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© 2004 Springer-Verlag Berlin Heidelberg

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Talay, A.C., Oktug, S. (2004). A GA/Heuristic Hybrid Technique for Routing and Wavelength Assignment in WDM Networks. In: Raidl, G.R., et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_16

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  • DOI: https://doi.org/10.1007/978-3-540-24653-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21378-9

  • Online ISBN: 978-3-540-24653-4

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