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المؤلفHosseini, Eghbal
المؤلفGhafoor, Kayhan Zrar
المؤلفSadiq, Ali Safaa
المؤلفGuizani, Mohsen
المؤلفEmrouznejad, Ali
تاريخ الإتاحة2022-11-23T15:08:09Z
تاريخ النشر2020-10-01
اسم المنشورIEEE Journal of Biomedical and Health Informatics
المعرّفhttp://dx.doi.org/10.1109/JBHI.2020.3012487
الاقتباسHosseini, 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.‏
الرقم المعياري الدولي للكتاب21682194
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85092750219&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36645
الملخصThe 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.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعcontrolling coronavirus distribution
coronavirus distribution process
coronavirus simulated algorithm
COVID-19
العنوانCOVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process
النوعArticle
الصفحات2765-2775
رقم العدد10
رقم المجلد24
dc.accessType Open Access


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