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
| Autor: | Hanxun Yue, Weiming Chen, Zhenzhen Wu, Zhi Li, Ziyuan Liu, Yunpu Zhao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
China
Urban Population Operations research Computer science Health Toxicology and Mutagenesis Pneumonia Viral lcsh:Medicine Transportation 02 engineering and technology 010501 environmental sciences transit storage 01 natural sciences Article Betacoronavirus 0202 electrical engineering electronic engineering information engineering Humans ant colony algorithm Environmental impact assessment Cities Medical Waste Disposal Pandemics Selection (genetic algorithm) 0105 earth and related environmental sciences SARS-CoV-2 Event (computing) Location model Ant colony optimization algorithms lcsh:R Public Health Environmental and Occupational Health COVID-19 Hybrid algorithm medical waste Order (business) Path (graph theory) immune tabu search algorithm 020201 artificial intelligence & image processing Public Health path optimization Coronavirus Infections Algorithms |
| Zdroj: | International Journal of Environmental Research and Public Health Volume 17 Issue 16 International Journal of Environmental Research and Public Health, Vol 17, Iss 5831, p 5831 (2020) |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph17165831 |
| Popis: | 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&ndash tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China&mdash considered the first city to suffer from COVID-19&mdash was chosen as an example of verification the two-level model and the immune algorithm&ndash ant colony optimization&ndash tabu search (IA&ndash ACO&ndash 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. |
| Databáze: | OpenAIRE |
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