| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 5 | |
| Section | Intelligent Environmental Monitoring and Quality Technology Assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202125301012 | |
| Published online | 06 May 2021 | |
Emergency Resource Scheduling During COVID-19
Business school, Sichuan University, Chengdu, Sichuan, 610065, China
* Corresponding author's e-mail: scugsxxl@sina.com
Due to the suddenness and uncertainty of the COVID-19, sufficient emergency resources should be allocated to the appropriate emergency space within a limited time. In order to ensure the smooth implementation of emergency resource scheduling, emergency resource must be timely and effectively supplied. Therefore, it is of great significance to study how to reasonably distribute emergency resource and how to optimize the vehicle routing problem to improve the efficiency of emergency. Based on the research of capacitated vehicle routing problem (CVRP) solved by traditional genetic algorithm, this paper proposes simulated annealing-genetic algorithm, which has been verified to effectively solve the capacitated vehicle routing problem.
© The Authors, published by EDP Sciences, 2021
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.
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