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

Datos Bibliográficos

ID15468528
AutoresZiyuan Liu (0000-0001-5564-7424, China University of Geosciences), Zhi Li (0000-0002-6039-1045, China University of Geosciences), Weiming Chen (0000-0002-2660-5492, China University of Geosciences, autor de correspondencia), Yunpu Zhao (0000-0001-7747-7040, Wuhan University), Hanxun Yue (0009-0003-4310-7000, Wuhan University), Zhenzhen Wu (0000-0003-4384-3473, China University of Geosciences)
Año2020
Volumen17
Número16
Páginas5831-5831
Fecha de publicación2020-08-12
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17165831
PMID32806570
OpenAlexW3048687748
IdiomaEN
Citas recibidas3
Referencias citadas34

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

Algorithm · Ant colony optimization algorithms · Coronavirus disease 2019 (COVID-19 · Municipal solid waste · Operations research · Tabu search · Waste management · Computer Science · Engineering · Healthcare and Environmental Waste Management · Medicine · Municipal Solid Waste Management