The Optimization Model and Algorithm of Emergency Logistics Vehicle Routing Problem Considering Random Demand and Robustness

Mei Li, Qian Li, Yan Lai

2025

Abstract

The role of vehicle routing in emergency logistics is very important, but there is a problem of unreasonable driving routes. Traditional methods cannot solve the problem of vehicle routing in emergency logistics, and the route is irrational. Therefore, a genetic algorithm is proposed to optimize the analysis of vehicle paths. Firstly, random demand is used to evaluate the route, and the index is divided according to the vehicle route requirements to reduce the vehicle path in the interfering factor. Then, random demand for emergency logistics vehicle path requirements, form a vehicle route scheme, and result on vehicle paths Conduct a comprehensive analysis. MATLAB simulation shows that under certain evaluation criteria, the genetic algorithm has a good effect on the accuracy and vehicle route of emergency logistics The safety is superior to traditional methods.

Paper Citation

in Harvard Style

Li M., Li Q. and Lai Y. (2025). The Optimization Model and Algorithm of Emergency Logistics Vehicle Routing Problem Considering Random Demand and Robustness. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 473-477. DOI: 10.5220/0013545800004664

in Bibtex Style

@conference{incoft25,
author={Mei Li and Qian Li and Yan Lai},
title={The Optimization Model and Algorithm of Emergency Logistics Vehicle Routing Problem Considering Random Demand and Robustness},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={473-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013545800004664},
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 - The Optimization Model and Algorithm of Emergency Logistics Vehicle Routing Problem Considering Random Demand and Robustness
SN - 978-989-758-763-4
AU - Li M.
AU - Li Q.
AU - Lai Y.
PY - 2025
SP - 473
EP - 477
DO - 10.5220/0013545800004664
PB - SciTePress