ArticleInternational journal of environmental research and public health2020
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.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Electric vehicle power system in intelligent manufacturing based on soft computing optimization.Heliyon · 2024Article
- A multimodal material route planning problem considering key processes at work zones.PloS one · 2024Article
- To what extent do waste management strategies need adaptation to post-COVID-19?The Science of the total environment · 2022Review
- Medical waste management during coronavirus disease 2019 pandemic at the city level.International journal of environmental science and technology : IJEST · 2022Article
- Reverse logistics research of municipal hazardous waste: a literature review.Environment, development and sustainability · 2022Review
- Differential evolution and particle swarm optimization against COVID-19.Artificial intelligence review · 2022Article
- Research on Optimization of Healthcare Waste Management System Based on Green Governance Principle in the COVID-19 Pandemic.International journal of environmental research and public health · 2021Article
- Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions.International journal of environmental research and public health · 2020Article
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Authors and funding
6 authors.
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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.
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