The bi-level programming of regional logistics system with elastic demand was studied. Game relations among the government, the owners of the logistics centers, and the clients were discussed by the system analysis method. The problem for clients to select the logistics centers and exchanging amount is equal to that of determining the membership values to the given logistics centers or the clustering centers by using fuzzy c-means clustering. The Stackelberg model was established. The upper level model is the problem for the owner to seek its maximum benefits. The lower level model is the partition problem of clients' assignment. Genetic algorithm was adopted in the concrete course for solution. The simulation result shows its correctness and feasibility.


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    Title :

    Bi-Level Programming of Regional Logistics System with Elastic Demand Based on Fuzzy C-Means Clustering


    Contributors:

    Conference:

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



    Publication date :

    2009-07-29




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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