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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    Title :

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


    Contributors:


    Publication date :

    2008-01-01


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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