Railway Container Transportation Service Network Design Optimization Model and Algorithm
Lixin Hou
2025
Abstract
Network design optimization plays an important role in intelligent railway container transportation services, but there is a problem of inaccurate design optimization. The traditional particle swarm algorithm cannot solve the network design problem in intelligent railway container transportation service, and the effect is not satisfactory. In today's fast-paced global economy, the efficient movement of goods has become a critical aspect of business operations. The optimization of railway container transportation networks is a crucial element in ensuring that goods are moved efficiently, cost-effectively, and reliably. To achieve these goals, the development of an effective optimization model and algorithm is necessary. In this article, we will discuss the key components of designing an optimal railway container transportation service network model and the corresponding algorithm to ensure efficient and reliable transportation services.
DownloadPaper Citation
in Harvard Style
Hou L. (2025). Railway Container Transportation Service Network Design Optimization Model and Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 430-434. DOI: 10.5220/0013545000004664
in Bibtex Style
@conference{incoft25,
author={Lixin Hou},
title={Railway Container Transportation Service Network Design Optimization Model and Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={430-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013545000004664},
isbn={978-989-758-763-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Railway Container Transportation Service Network Design Optimization Model and Algorithm
SN - 978-989-758-763-4
AU - Hou L.
PY - 2025
SP - 430
EP - 434
DO - 10.5220/0013545000004664
PB - SciTePress