Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/37064

TitleMultiobjective approach to optimal control for a dengue transmission model
Author(s)Denysiuk, Roman
Rodrigues, Helena Sofia
Monteiro, M. Teresa T.
Costa, L.
Espírito Santo, I. A. C. P.
Torres, Delfim F. M.
KeywordsMathematical Biosciences
Dengue
Mathematical modeling
Multiobjective optimization
Optimal control
Mathematical modeling
Issue date26-Jun-2015
PublisherInternational Academic Press
JournalStatistics, Optimization and Information Computing
Abstract(s)During the last decades, the global prevalence of dengue progressed dramatically. It is a disease which is now endemic in more than one hundred countries of Africa, America, Asia and the Western Pacific. This study addresses a mathematical model for the dengue disease transmission and finding the most effective ways of controlling the disease. The model is described by a system of ordinary differential equations representing human and vector dynamics. Multiobjective optimization is applied to find the optimal control strategies, considering the simultaneous minimization of infected humans and costs due to insecticide application. The obtained results show that multiobjective optimization is an effective tool for finding the optimal control. The set of trade-off solutions encompasses a whole range of optimal scenarios, providing valuable information about the dynamics of infection transmissions. The results are discussed for different values of model parameters.
TypeArticle
URIhttp://hdl.handle.net/1822/37064
DOI10.19139/soic.v3i3.144
ISSN2310-5070
2311-004X
Publisher versionhttp://www.iapress.org/index.php/soic/article/view/20150901
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals
LES/ALG - Artigos em revistas científicas internacionais com arbitragem

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