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AuthorHosseini, Eghbal
AuthorGhafoor, Kayhan Zrar
AuthorSadiq, Ali Safaa
AuthorGuizani, Mohsen
AuthorEmrouznejad, Ali
Available date2022-11-23T15:08:09Z
Publication Date2020-10-01
Publication NameIEEE Journal of Biomedical and Health Informatics
Identifierhttp://dx.doi.org/10.1109/JBHI.2020.3012487
CitationHosseini, E., Ghafoor, K. Z., Sadiq, A. S., Guizani, M., & Emrouznejad, A. (2020). Covid-19 optimizer algorithm, modeling and controlling of coronavirus distribution process. IEEE Journal of Biomedical and Health Informatics, 24(10), 2765-2775.‏
ISSN21682194
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85092750219&origin=inward
URIhttp://hdl.handle.net/10576/36645
AbstractThe emergence of novel COVID-19 is causing an overload on public health sector and a high fatality rate. The key priority is to contain the epidemic and reduce the infection rate. It is imperative to stress on ensuring extreme social distancing of the entire population and hence slowing down the epidemic spread. So, there is a need for an efficient optimizer algorithm that can solve NP-hard in addition to applied optimization problems. This article first proposes a novel COVID-19 optimizer Algorithm (CVA) to cover almost all feasible regions of the optimization problems. We also simulate the coronavirus distribution process in several countries around the globe. Then, we model a coronavirus distribution process as an optimization problem to minimize the number of COVID-19 infected countries and hence slow down the epidemic spread. Furthermore, we propose three scenarios to solve the optimization problem using most effective factors in the distribution process. Simulation results show one of the controlling scenarios outperforms the others. Extensive simulations using several optimization schemes show that the CVA technique performs best with up to 15%, 37%, 53% and 59% increase compared with Volcano Eruption Algorithm (VEA), Gray Wolf Optimizer (GWO), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), respectively.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectcontrolling coronavirus distribution
coronavirus distribution process
coronavirus simulated algorithm
COVID-19
TitleCOVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process
TypeArticle
Pagination2765-2775
Issue Number10
Volume Number24
dc.accessType Open Access


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