| Issue |
MATEC Web Conf.
Volume 325, 2020
2020 8th International Conference on Traffic and Logistic Engineering (ICTLE 2020)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 5 | |
| Section | City Logistics and Distribution Services | |
| DOI | https://doi.org/10.1051/matecconf/202032503002 | |
| Published online | 22 October 2020 | |
Routing optimization of the emergency supplies distribution vehicles using NSGA-II algorithm: a case study
1 The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China
2 Business School, Sichuan University, Chengdu 610065, China
3 Chengdu University of Technology, Chengdu 610059, China
a Corresponding author: fuhai_yan@126.com
In recent years, emergencies, including natural disasters and other public disasters, have seriously threatened the lives and property security of people all over the world. In order to save more people’s lives and reduce the losses caused by disasters, many researchers have carried out intensive study on the distribution of emergency supplies. This paper first studies Location-Routing Problem(LRP) of alternative logistics centers and material demand points, and constructs a multi-objective integer programming model based on the actual situation. The model consists of two objectives: (1) the minimum total transportation time; (2) the maximum total emergency material satisfaction. Then an algorithm is introduced to solve the above model: NSGA-II. Finally, the emergency materials distribution in Hubei Province is taken as an example to verify the applicability and effectiveness of the above method and the models.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.