Traffic engineering in multi-service networks based on computational intelligence

Vasilios Pasias*, Dimitris Karras, Ralls C. Papademetriou

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, three new methods for the solution of the off-line Traffic Engineering problem in multi-service networks based on computational intelligence are presented, In the first method the off-line TE problem is formulated as an optimisation model with linear constraints and then solved using a modified version of the Genetic Algorithm for Numerical Optimisation for Constraint Problems (GENOCOP), Besides, a hybrid method for the solution of the aforementioned problem involving GENOCOP and a heuristic TE algorithm is also provided, In the third method the off-line TE optimisation problem is solved using a special constrained simulated annealing algorithm, The performance of the above methods against a standard optimisation method based on Linear Programming is examined through a series of tests and numerical results are provided.

    Original languageEnglish
    Title of host publicationIWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005), Chalkida, Greece, 22-24 Sept 2005
    EditorsD.A. Karras, S. Voliotis, M. Rangoussi, A. Kokkosis
    PublisherInderscience Publishers
    Pages151-156
    Number of pages6
    ISBN (Print)0907776205, 9780907776208
    Publication statusPublished - 1 Dec 2005
    EventIWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005) - Chalkida, Greece
    Duration: 22 Sep 200524 Sep 2005

    Publication series

    NameIWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing

    Conference

    ConferenceIWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005)
    Country/TerritoryGreece
    CityChalkida
    Period22/09/0524/09/05

    Keywords

    • Best-Effort (BE)
    • Constrained simulated annealing
    • Genetic algorithm
    • Genetic Algorithm for Numerical Optimisation for Constraint Problems (GENOCOP)
    • Heuristic algorithm
    • Linear Programming (LP)
    • Quality of Service (QoS)
    • Traffic Engineering (TE)

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