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DOI | 10.15244/pjoes/175025 |
Research on Optimization of Transport Path for Novel Coronavirus Detection Samples | |
Han, Jing; Liu, Yanqiu | |
发表日期 | 2024 |
ISSN | 1230-1485 |
EISSN | 2083-5906 |
起始页码 | 33 |
结束页码 | 3 |
卷号 | 33期号:3 |
英文摘要 | The novel coronavirus is one of the most widespread global epidemics that has harmed human life and health around the world in the past century. Nonetheless, we confront a formidable predicament: the transportation costs and transmission risks of comprehensive testing for the new coronavirus are huge. Furthermore, the extensive utilization of trucks has contributed to a surge in greenhouse gas emissions, thereby exacerbating the pressing issues of global warming and climate change. To ameliorate these challenges, we proffer an ingenious resolution: the deployment of a truck outfitted multiple drones, thereby orchestrating the transfer of samples. In our endeavor to address this intricate issue, we have devised a MIP model, with distribution cost and delivery time serving as bi-objectives. Additionally, we have developed a genetic adaptive large-scale neighborhood search algorithm (GALNS) to resolve the model. Through example testing, we draw the following conclusions: a. We verified the correctness and effectiveness of the proposed model and algorithm. b. In comparison to traditional truck transfer, the deployment of trucks ferrying multiple drones, each equipped with multi -visit functionalities, for the transportation of nucleic acid testing samples, not only proves to be a more cost-effective and efficient approach but also mitigates the risk of contagion. |
英文关键词 | truck and drone; multi-visits; novel coronavirus sample transfer; path planning |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS记录号 | WOS:001188180800013 |
来源期刊 | POLISH JOURNAL OF ENVIRONMENTAL STUDIES
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/295759 |
作者单位 | Shenyang University of Technology |
推荐引用方式 GB/T 7714 | Han, Jing,Liu, Yanqiu. Research on Optimization of Transport Path for Novel Coronavirus Detection Samples[J],2024,33(3). |
APA | Han, Jing,&Liu, Yanqiu.(2024).Research on Optimization of Transport Path for Novel Coronavirus Detection Samples.POLISH JOURNAL OF ENVIRONMENTAL STUDIES,33(3). |
MLA | Han, Jing,et al."Research on Optimization of Transport Path for Novel Coronavirus Detection Samples".POLISH JOURNAL OF ENVIRONMENTAL STUDIES 33.3(2024). |
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