Traffic engineering in multi-service networks based on genetic optimisation

Vasilios Pasias*, Diiuitiis Karras, Rallis C. Papademetriou

*Corresponding author for this work

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

    Abstract

    In this paper, two new methods for the solution of the off-line Traffic Engineering (TE) problem in multi-service networks based on genetic optimisa tion 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 afore mentioned problem involving GENOCOP and a heuristic TE algorithm is also provided. The performance of the above methods against a standard LP-based optimisation method is examined in terms of two different network topologies and numerical test results are provided.

    Original languageEnglish
    Title of host publicationProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005, Pune, India, December 20-22, 2005
    Pages3337-3352
    Number of pages16
    Publication statusPublished - 20 Dec 2005
    Event2nd Indian International Conference on Artificial Intelligence - Pune, India
    Duration: 20 Dec 200522 Dec 2005

    Publication series

    NameProceedings of the 2nd Indian International Conference on Artificial Intelligence, IICAI 2005

    Conference

    Conference2nd Indian International Conference on Artificial Intelligence
    Abbreviated titleIICAI 2005
    CountryIndia
    CityPune
    Period20/12/0522/12/05

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