In the railway station operation, route arrangement directly influence the operation efficiency of arrival and departure of trains, as well as the carrying capacity of station. As it is a large-scale combinatorial optimization problem with two-dimensional performance on both space and time, traditional algorithms can not satisfy the real- time request of station production due to the long time-consuming. In view of the characteristic of this question, the optimization model on route selection of passenger station is established in this paper, and the optimization algorithm of route selection based on the minimum maximum ant system is proposed. The technical problems of the algorithm, such as structural map of solution, pheromone model, heuristic information model, local search method and so on are discussed.


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    Titel :

    Route Selection Optimization of Railway Passenger Station Based on Ant Colony Algorithm


    Beteiligte:
    Lu, Hongxia (Autor:in) / Ni, Shaoquan (Autor:in) / Chen, Tao (Autor:in)

    Kongress:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2009-07-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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