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Investigation of Hyper-Heuristics for Designing Survivable Virtual Topologies in Optical WDM Networks

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Applications of Evolutionary Computation (EvoApplications 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6625))

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Abstract

In optical WDM networks, a fiber failure may result in a serious amount of data loss, hence, designing survivable virtual topologies is a critical problem. We propose four different hyper-heuristic approaches to solve this problem, each of which is based on a different category of nature inspired heuristics: evolutionary algorithms, ant colony optimization, simulated annealing, and adaptive iterated constructive search are used as the heuristic selection methods in the hyper-heuristics. Experimental results show that, all proposed hyper-heuristic approaches are successful in designing survivable virtual topologies. Furthermore, the ant colony optimization based hyper-heuristic outperforms the others.

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References

  1. Burke, E.K., Hyde, M., Kendall, G., Ochoa, G., Ozcan, E., Woodward, J.: Handbook of Meta-heuristics. Springer, Heidelberg (2010)

    Google Scholar 

  2. Cavdar, C., Yayimli, A.G., Mukherjee, B.: Multilayer resillient design for layer-1 VPNs. In: Optical Fiber Communication Conference and Exposition - OFC 2008, California, USA (February 2008)

    Google Scholar 

  3. Dorigo, M., Stutzle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)

    MATH  Google Scholar 

  4. Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Springer, Heidelberg (2003)

    Book  MATH  Google Scholar 

  5. Ergin, F.C., Kaldirim, E., Yayimli, A., Uyar, A.S.: Ensuring resilience in optical WDM networks with nature inspired heuristics. IEEE/OSA Journal of Optical Communications and Networking 2(8), 642–652 (2010)

    Article  Google Scholar 

  6. Hoos, H.H., Stutzle, T.: Stochastic Local Search: Foundations and Applications. Morgan Kaufmann, San Francisco (2005)

    MATH  Google Scholar 

  7. Kurant, M., Nguyen, H.X., Thiran, P.: Survey on dependable IP over fiber networks. Research Results of the DICS Program, 55–81 (2006)

    Google Scholar 

  8. Mukherjee, B.: Optical WDM Networks. Springer, Heidelberg (2006)

    Google Scholar 

  9. Nucci, A., Sanso, B., Crainic, T.G., Leonardi, E., Marsan, M.A.: On the design of fault-tolerant logical topologies in wavelength-routed packet networks. IEEE Journal on Selected Areas in Communications 2(9), 1884–1895 (2004)

    Article  Google Scholar 

  10. Topcuoglu, H., Ermis, M., Corut, F., Yilmaz, G.: Solving the uncapacitated hub location problem using genetic algorithms. Computers & Operations Research 32(4), 967–984 (2005)

    Article  MATH  Google Scholar 

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Ergin, F.C., Uyar, A.Ş., Yayimli, A. (2011). Investigation of Hyper-Heuristics for Designing Survivable Virtual Topologies in Optical WDM Networks. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-20520-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20519-4

  • Online ISBN: 978-3-642-20520-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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