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10.1016/j.chaos.2020.109883 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.109883 32427205!7229919!32427205     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2020 ; 136 (ä): 109883 Nephropedia Template TP {{tp|p=32427205|t=2020. Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak |pdf=|usr=}}{{32427205}} gab.com Text Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32427205 #FOAvip Understanding the early transmission dynamics of diseases and estimating the effectiveness of control policies play inevitable roles in the prevention of epidemic diseases. To this end, this paper is concerned with the design of optimal control strategies for the novel coronavirus disease (COVID-19). A mathematical model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission based on Wuhan's data is considered. To solve the problem effectively and efficiently, a multi-objective genetic algorithm is proposed to achieve high-quality schedules for various factors including contact rate and transition rate of symptomatic infected individuals to the quarantined infected class. By changing these factors, two optimal policies are successfully designed. This study has two main scientific contributions that are: (1) This is pioneer research that proposes policies regarding COVID-19, (2) This is also the first research that addresses COVID-19 and considers its economic consequences through a multi-objective evolutionary algorithm. Numerical simulations conspicuously demonstrate that by applying the proposed optimal policies, governments could find useful and practical ways for control of the disease. Twit Text FOAVip Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32427205 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32427205 #FOAvip English Wikipedia <ref>{{Cite pmid|32427205}}</ref> Optimal policies for control of the novel coronavirus disease (COVID-19) outbreak #MMPMID32427205 Yousefpour A; Jahanshahi H; Bekiros S Chaos Solitons Fractals 2020[Jul]; 136 (ä): 109883 PMID32427205show ga Understanding the early transmission dynamics of diseases and estimating the effectiveness of control policies play inevitable roles in the prevention of epidemic diseases. To this end, this paper is concerned with the design of optimal control strategies for the novel coronavirus disease (COVID-19). A mathematical model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission based on Wuhan's data is considered. To solve the problem effectively and efficiently, a multi-objective genetic algorithm is proposed to achieve high-quality schedules for various factors including contact rate and transition rate of symptomatic infected individuals to the quarantined infected class. By changing these factors, two optimal policies are successfully designed. This study has two main scientific contributions that are: (1) This is pioneer research that proposes policies regarding COVID-19, (2) This is also the first research that addresses COVID-19 and considers its economic consequences through a multi-objective evolutionary algorithm. Numerical simulations conspicuously demonstrate that by applying the proposed optimal policies, governments could find useful and practical ways for control of the disease. äOptimal policies for control of the novel coronavirus disease (COVID-1(epmc).pdf DeepDyve Pubget Overpricing