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Optimization of Sample Size and Epidemic Model Parameters by Using the Differential Evolution and Optimization Algorithms

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dc.contributor.advisor Duboz, Raphael (Chairman) en_US
dc.contributor.author Uruthiran, Peranantham en_US
dc.contributor.other Dung, Phan Minh (Member) en_US
dc.contributor.other Poompat Saengudomlert (Member) en_US
dc.date.accessioned 2015-01-12T10:39:01Z
dc.date.available 2015-01-12T10:39:01Z
dc.date.issued 2012-12 en_US
dc.identifier.other AIT RSPR no.CS-12-10 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/160
dc.description.abstract This research work focuses on epidemic surveillance by using SIR model. The objective of this research is to optimize the parameters of an epidemic model and its sample size. As any surveillance requires a proper sample size, the calculated sample size should be sufficient for the surveillance; otherwise it will not be useful for the disease analysis and decision making process. In this research, differential evolution algorithm and optimization algorithm are employed to optimize the sample size and the parameters of SIR model respectively. Hence, the “optim” functions are used to find optimum value of susceptible, infected and transmission rate at the initial state. en_US
dc.description.sponsorship Asian Development Bank, Technical Development Education Training Project Sri Lanka and AIT en_US
dc.language.iso eng en_US
dc.subject Sample size, SIR model, Surveillance, Optimize parameters, Epidemic. en_US
dc.subject.lcsh Others en_US
dc.title Optimization of Sample Size and Epidemic Model Parameters by Using the Differential Evolution and Optimization Algorithms en_US
dc.type Research Report en_US


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