Multiobjective Genetic Algorithm applied to dengue control

Dengue fever is an infectious disease caused by a virus of the Flaviridae family and transmitted to the person by a mosquito of the genus Aedes aegypti. This disease has been a global public health problem because a single mosquito can infect up to 300 people and between 50 and 100 million people ar...

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Vydáno v:Mathematical biosciences Ročník 258; s. 77 - 84
Hlavní autoři: Florentino, Helenice O., Cantane, Daniela R., Santos, Fernando L.P., Bannwart, Bettina F.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 01.12.2014
Témata:
Aedes - genetics
Aedes - physiology
Aedes aegypti
Algorithms
Animals
Dengue
Dengue - prevention & control
Dengue - transmission
Female
Genetic algorithm
Humans
Male
Mosquito Control - methods
Multiobjective optimization
Population Dynamics
Genetic algorithm
Dengue
Multiobjective optimization
ISSN:0025-5564, 1879-3134, 1879-3134
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Shrnutí:Dengue fever is an infectious disease caused by a virus of the Flaviridae family and transmitted to the person by a mosquito of the genus Aedes aegypti. This disease has been a global public health problem because a single mosquito can infect up to 300 people and between 50 and 100 million people are infected annually on all continents. Thus, dengue fever is currently a subject of research, whether in the search for vaccines and treatments for the disease or efficient and economical forms of mosquito control. The current study aims to study techniques of multiobjective optimization to assist in solving problems involving the control of the mosquito that transmits dengue fever. The population dynamics of the mosquito is studied in order to understand the epidemic phenomenon and suggest strategies of multiobjective programming for mosquito control. A Multiobjective Genetic Algorithm (MGA_DENGUE) is proposed to solve the optimization model treated here and we discuss the computational results obtained from the application of this technique. •We studied the population dynamics of the mosquito in order to understand the epidemic phenomenon.•We proposed a genetic algorithm to determine optimal control of the mosquito that transmits dengue.•Genetic algorithm is easy to implement and has proved a good tool for determining optimum controls.•A decrease can be observed in all segments of the mosquito population with determined control.
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ISSN:0025-5564
1879-3134
1879-3134
DOI:10.1016/j.mbs.2014.08.013