Research Article
Multi objective optimization model of railway transportation logistics network based on improved ant colony algorithm
@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
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.