In this study, the problem of vehicle routing was combined with automated guided vehicle (AGV) scheduling of automated container terminals to explore the AGV scheduling problem of multi-objective terminals considering conflict-free factors. Subsequently, a model was established with the optimization objective of maximizing customer satisfaction while reaching the shortest completion time. Then, the model was solved using a two-stage algorithm. The results reveal that the improved particle swarm optimization (PSO) algorithm is better than the other two algorithms in both performance and results in different examples and it can achieve a better scheduling strategy scheme.


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    Title :

    Automatic guided vehicle scheduling optimization of automated container terminal considering battery swapping and conflict-free factors


    Contributors:

    Conference:

    Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024) ; 2024 ; Guilin, China


    Published in:

    Proc. SPIE ; 13251


    Publication date :

    2024-08-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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