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Ant Colony Optimization Metaheuristic for the Traffic Grooming in WDM Networks

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Combinatorial Optimization and Applications (COCOA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5165))

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Abstract

This paper studies the routing strategy in non-bifurcated traffic grooming in WDM networks. It is to optimally route the specified traffic over a given logical topology to minimize the congestion of the WDM network. We first present the node-arc formulation. To overcome the computational complexity by implementing exact algorithms, we present an ant colony optimization (ACO) metaheuristic. The computational results compared to those of exact algorithms demonstrate that ACO is a computationally efficient and suitable approach for obtaining high-quality routing strategy in non-bifurcated traffic grooming problem in WDM networks.

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References

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Boting Yang Ding-Zhu Du Cao An Wang

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© 2008 Springer-Verlag Berlin Heidelberg

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Li, X., Aneja, Y., Baki, F. (2008). Ant Colony Optimization Metaheuristic for the Traffic Grooming in WDM Networks. In: Yang, B., Du, DZ., Wang, C.A. (eds) Combinatorial Optimization and Applications. COCOA 2008. Lecture Notes in Computer Science, vol 5165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85097-7_22

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  • DOI: https://doi.org/10.1007/978-3-540-85097-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85096-0

  • Online ISBN: 978-3-540-85097-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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