دورية أكاديمية

Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas

التفاصيل البيبلوغرافية
العنوان: Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas
المؤلفون: Zhang, Min-Xia, Yan, Hong-Fan, Wu, Jia-Yu, Zheng, Yu-Jun
المصدر: International journal of environmental research and public health, 17(7):2275
سنة النشر: 2020
المجموعة: Publisso (ZB MED-Publikationsportal Lebenswissenschaften)
مصطلحات موضوعية: public health emergencies, water wave optimization (WWO), epidemics, optimization, vehicle scheduling, medical isolation
الوصف: In a large-scale epidemic outbreak, there can be many high-risk individuals to be transferred for medical isolation in epidemic areas. Typically, the individuals are scattered across different locations, and available quarantine vehicles are limited. Therefore, it is challenging to efficiently schedule the vehicles to transfer the individuals to isolated regions to control the spread of the epidemic. In this paper, we formulate such a quarantine vehicle scheduling problem for high-risk individual transfer, which is more difficult than most well-known vehicle routing problems. To efficiently solve this problem, we propose a hybrid algorithm based on the water wave optimization (WWO) metaheuristic and neighborhood search. The metaheuristic uses a small population to rapidly explore the solution space, and the neighborhood search uses a gradual strategy to improve the solution accuracy. Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19).
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://repository.publisso.de/resource/frl:6420357Test; https://doi.org/10.3390/ijerph17072275Test
DOI: 10.3390/ijerph17072275
الإتاحة: https://doi.org/10.3390/ijerph17072275Test
https://repository.publisso.de/resource/frl:6420357Test
حقوق: http://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.2054693E
قاعدة البيانات: BASE