Systematic tabu search based meta-heuristic algorithms are designed and implemented for the transit route network design problem. A multi-objective nonlinear mixed integer model is formulated. Solution methodologies based on three variations of tabu search methods are proposed and tested using a small experimental network as a pilot study. Sensitivity analysis is performed, a comprehensive characteristics analysis is conducted and numerical results indicate that the preferred tabu search method outperforms the genetic algorithm used as a benchmark.


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    Titel :

    A Tabu Search Based Heuristic Method for the Transit Route Network Design Problem


    Beteiligte:
    Hickman, Mark (Herausgeber:in) / Mirchandani, Pitu (Herausgeber:in) / Voß, Stefan (Herausgeber:in) / Fan, Wei (Autor:in) / Machemehl, Randy B. (Autor:in)


    Erscheinungsdatum :

    2008-01-01


    Format / Umfang :

    22 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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