Path optimization of logistics distribution vehicles is researched to improve the efficiency of intelligent logistics systems. The logistics distribution system based on urban rail transportation is analyzed. A mathematical model is constructed for the Vehicle Routing Problem (VRP) of multiple distribution centers. A novel Concentration-Immune Algorithm Particle Swarm Optimization (C-IAPSO) is proposed based on the respective advantages of C-IA and PSO in vehicle path optimization combining the concept of antibody concentration. C-IAPSO first calculates the concentration selection probability of particles in the swarm and updates the immune memory bank as per the optimal particle retention strategy to ensure the diversity of the antibody swarm. To assess the performance of C-IAPSO, seven standard test functions are selected for comparison experiments; results prove that it can provide the fastest convergence rate. On unimodal functions Sphere and Quadric, the accuracy of C-IAPSO gets improved significantly. The specific conditions of the distribution center and the demand spots are analyzed; the vehicle travels 508.40 km in total under the optimal distribution path calculated by C-IAPSO, which is a notable decrease compared with the 600.40 km of Adaptive PSO (APSO). To sum up, applying C-IAPSO to vehicle path optimization of intelligent logistics systems can improve transportation efficiency and reduce transportation costs.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Distribution Path Optimization for Intelligent Logistics Vehicles of Urban Rail Transportation Using VRP Optimization Model


    Contributors:


    Publication date :

    2022-02-01


    Size :

    1601025 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Logistics and Distribution Path Optimization Model Based on Hybrid Intelligent Algorithm

    T, Veeramani / N S, Krishnaraj Rao / Sanjay Krishna, G R et al. | IEEE | 2023


    Optimization of Urban Transportation Network Path

    Zhang, Dandan / Zhu, Haiyun | Springer Verlag | 2020


    Logistics transportation method based on urban rail transit

    ZHU WENCHUANG | European Patent Office | 2021

    Free access

    Research on Logistics Distribution of Urban Public Transport in Intelligent Transportation Systems

    Huang, Jinling / Yang, Jingshuai / Wang, Yimeng et al. | ASCE | 2018


    Intelligent logistics transportation vehicle and logistics transportation method

    LI YUQUN / LIN JING / HUANG GUANGJIN | European Patent Office | 2024

    Free access