Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Multi objective optimization model of railway transportation logistics network based on improved ant colony algorithm

Download389 downloads
  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294624,
        author={Xiu-miao  LIU},
        title={Multi objective optimization model of railway transportation logistics network based on improved ant colony algorithm},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={improved ant colony algorithm; multi objective optimization; railway transportation; logistics network},
        doi={10.4108/eai.27-8-2020.2294624}
    }
    
  • Xiu-miao LIU
    Year: 2020
    Multi objective optimization model of railway transportation logistics network based on improved ant colony algorithm
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294624
Xiu-miao LIU1,*
  • 1: HEBEI VOCATIONAL COLLEGE OF RAIL TRANSPORTATION, Shijiazhuang 050000, China
*Contact email: liuxiumiao22@163.com

Abstract

In view of the problem that the transportation cost of the original multi objective optimization model of railway transportation logistics network is too high, this paper introduces the improved ant colony algorithm and designs the multi objective optimization model of railway transportation logistics network based on the improved ant colony algorithm. Set the logistics warehouse as the logistics transportation node and calculate the node optimization cost; use the improved ant colony algorithm to obtain the optimal transportation path in the railway transportation logistics network; set the optimal path as the form of particles, and use the particle swarm algorithm to complete the multi objective optimal solution process of the railway transportation logistics network, and build the multi objective optimization model. So far, the multi objective optimization model design of railway transportation logistics network based on improved ant colony algorithm is completed. Compared with the original optimization model, the application effect of this optimization model is better, which can effectively reduce the cost of logistics network transportation.