• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Highway and Transportation Research and Development (English Edition)
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Highway and Transportation Research and Development (English Edition)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Truck-and-Trailer Distribution Based on a Hybrid Evolutionary Algorithm

    Thumbnail
    View/Open
    32312089.pdf (442.7Kb)
    Date
    2014
    Author
    Hu Zhi-Hua
    Wei Chen
    Tao Sha
    Metadata
    Show full item record
    Abstract
    A simple DTT is a problem to design a hybrid trucking route for single and double trailers as a new version of the routing problem using sub-tours for servicing truck customers. The local optimization approach, 2-opt, is employed to optimize the route. An 0/1 integer linear programming model is built to segment the route that visits all customers, and choose a sub-tours combination that minimizes the incremental cost of the sub-tours. A hybrid evolutionary algorithm is built upon them to search for an optimal hybrid route. Numerical samples are provided to show the features of the DTT problem. The performance of the sub-tours combination optimization model and the evolution of the fitness of the algorithm with or without 2-opt are studied by simulation. The results demonstrate the validity of the proposed approach.
    URI
    http://yetl.yabesh.ir/yetl/handle/yetl/72137
    Collections
    • Journal of Highway and Transportation Research and Development (English Edition)

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV