This paper proposes and studies a novel two-echelon vehicle routing problem with simultaneous pickup and delivery (2E-VRPSPD) which is applicable in logistics management nowadays. 2E-VRPSPD is a new variant of the traditional vehicle routing problem (VRP). We first present a mathematical programming model to the problem and then propose a heuristic algorithm approach, Genetic Algorithm (GA), to solve large instances of 2E-VRPSPD. The effectiveness of the GA is studied based on extensive computational experiments on generated instances.


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    Titel :

    A Genetic Algorithm for the Two-Echelon Vehicle Routing Problem with Simultaneous Pickup and Delivery


    Beteiligte:
    Jia, Tai (Autor:in) / Jing, Zhu (Autor:in) / Hong, Ma (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    113260 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch