To express integrated optimization of multifile hubs location and mixed network design, a bi-level programming model was introduced for mathematical models. The upper-level programming problem is a multi-objective programming model to minimize total impedance in a network and minimize total investment budget. The lower-level problem is a user equilibrium assignment with fixed demand. Specific design and solving steps based on immune clone algorithm was given. Then a numeric example for solving under the conditions of different decision weights was given. The result demonstrates that (1) the model is effective and the algorithm is feasible; (2) after the hubs are built, if the decision is in favour of transport network management, there are more trends to build new roads to reduce network costs and overall costs.


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    Titel :

    Integrated Optimization of Multiple Hubs Location and Mixed Network Design Based on Immune Clone Algorithm


    Beteiligte:
    Sun, Yang (Autor:in) / Song, Rui (Autor:in) / He, Shiwei (Autor:in) / Wang, Huibin (Autor:in)


    Erscheinungsdatum :

    2011-02-15


    Format / Umfang :

    72011-01-01 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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