Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm

In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm i...

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Vydáno v:	International journal of environmental research and public health Ročník 17; číslo 16; s. 5831
Hlavní autoři:	Liu, Ziyuan, Li, Zhi, Chen, Weiming, Zhao, Yunpu, Yue, Hanxun, Wu, Zhenzhen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 12.08.2020 MDPI
Témata:	Algorithms Betacoronavirus China - epidemiology Cities Cooperation Coronavirus Infections - epidemiology COVID-19 Heuristic Humans Integer programming Medical research Medical Waste Disposal - methods Medical wastes Neighborhoods Optimization algorithms Pandemics Pneumonia, Viral - epidemiology Public Health Random variables SARS-CoV-2 Traffic congestion Transportation - methods Transportation - standards Urban Population Vehicles China Cities transit storage ant colony algorithm immune tabu search algorithm path optimization medical waste
ISSN:	1660-4601, 1661-7827, 1660-4601
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Abstract	In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm is used to establish a location model of urban medical waste storage sites. In view of the selection of temporary storage stations and realistic transportation demand, an efficiency-of-transport model of medical waste between hospitals and temporary storage stations is established by using an ant colony–tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China—considered the first city to suffer from COVID-19—was chosen as an example of verification; the two-level model and the immune algorithm–ant colony optimization–tabu search (IA–ACO–TS) algorithm were used for simulation and testing, which achieved good verification. To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies.
AbstractList	In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm is used to establish a location model of urban medical waste storage sites. In view of the selection of temporary storage stations and realistic transportation demand, an efficiency-of-transport model of medical waste between hospitals and temporary storage stations is established by using an ant colony-tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China-considered the first city to suffer from COVID-19-was chosen as an example of verification; the two-level model and the immune algorithm-ant colony optimization-tabu search (IA-ACO-TS) algorithm were used for simulation and testing, which achieved good verification. To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies. In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm is used to establish a location model of urban medical waste storage sites. In view of the selection of temporary storage stations and realistic transportation demand, an efficiency-of-transport model of medical waste between hospitals and temporary storage stations is established by using an ant colony-tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China-considered the first city to suffer from COVID-19-was chosen as an example of verification; the two-level model and the immune algorithm-ant colony optimization-tabu search (IA-ACO-TS) algorithm were used for simulation and testing, which achieved good verification. To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies.In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm is used to establish a location model of urban medical waste storage sites. In view of the selection of temporary storage stations and realistic transportation demand, an efficiency-of-transport model of medical waste between hospitals and temporary storage stations is established by using an ant colony-tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China-considered the first city to suffer from COVID-19-was chosen as an example of verification; the two-level model and the immune algorithm-ant colony optimization-tabu search (IA-ACO-TS) algorithm were used for simulation and testing, which achieved good verification. To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies.
Author	Zhao, Yunpu Li, Zhi Chen, Weiming Wu, Zhenzhen Yue, Hanxun Liu, Ziyuan
AuthorAffiliation	3 Faculty of Engineering, China University of Geosciences, Wuhan 430074, China; 20171000703@cug.edu.cn 1 School of Economics and Management, China University of Geosciences, Wuhan 430074, China; liuziyuan@cug.edu.cn 2 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China; cnlizhi@cug.edu.cn 4 School of Computer Science, Wuhan University, Wuhan 430072, China; 2018302060341@whu.edu.cn 5 School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China; 2018302180071@whu.edu.cn
AuthorAffiliation_xml	– name: 1 School of Economics and Management, China University of Geosciences, Wuhan 430074, China; liuziyuan@cug.edu.cn – name: 2 School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China; cnlizhi@cug.edu.cn – name: 4 School of Computer Science, Wuhan University, Wuhan 430072, China; 2018302060341@whu.edu.cn – name: 5 School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China; 2018302180071@whu.edu.cn – name: 3 Faculty of Engineering, China University of Geosciences, Wuhan 430074, China; 20171000703@cug.edu.cn
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SubjectTerms	Algorithms Betacoronavirus China - epidemiology Cities Cooperation Coronavirus Infections - epidemiology COVID-19 Heuristic Humans Integer programming Medical research Medical Waste Disposal - methods Medical wastes Neighborhoods Optimization algorithms Pandemics Pneumonia, Viral - epidemiology Public Health Random variables SARS-CoV-2 Traffic congestion Transportation - methods Transportation - standards Urban Population Vehicles
Title	Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm
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