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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Veröffentlicht in:	International journal of environmental research and public health Jg. 17; H. 16; S. 5831
Hauptverfasser:	Liu, Ziyuan, Li, Zhi, Chen, Weiming, Zhao, Yunpu, Yue, Hanxun, Wu, Zhenzhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 12.08.2020 MDPI
Schlagworte:	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
Online-Zugang:	Volltext
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