For the multi-objective multimodal transportation path optimization problem, based on the analysis of the objective function, the multi-objective path optimization model of container multimodal transportation with class period limitation is constructed by considering the four factors of transportation time, transportation cost, carbon emission, and multimodal logistics service quality, taking into account the different preferences and differentiated demands of different multimodal transportation participating decision makers, and setting different objective functions. The model is solved by a modified genetic algorithm based on the TOPSIS method, and the optimal transportation scheme under different weight combinations is obtained by solving it with MATLAB software using the Chengdu-Shanghai transportation network as an example.


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    Title :

    Research on Multimodal Transportation Path Optimization Based on Improved Genetic Algorithm


    Contributors:
    Zhang, Tianren (author) / Chen, Ning (author)


    Publication date :

    2023-08-04


    Size :

    649175 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English