TY - JOUR
T1 - Genetic algorithm for optimization of the Aedes aegypti control strategies
AU - de Oliveira Florentino, Helenice
AU - Cantane, Daniela Renata
AU - Santos, Fernando L.P.
AU - Reis, Celia A.
AU - Vaz Pato, Margarida
AU - Jones, Dylan
AU - Cerasuolo, Marianna
AU - Oliveira, Rogerio
AU - Lyra, Luiz G.
PY - 2018/12
Y1 - 2018/12
N2 - Dengue Fever, Zika and Chikungunya are febrile infectious diseases transmitted by the Aedes species of mosquito with a high rate of mortality. The most common vector is Aedes aegypti. According to World Health Organization outbreaks of mosquito-borne illnesses are common in the tropical and sub-tropical climates, as there are currently no vaccines to protect against Dengue Fever, Chikungunya or Zika diseases. Hence, mosquito control is the only known method to protect human populations. Consequently, the affected countries need urgently search for better tools and sustained control interventions in order to stop the growing spread of the vector. This study presents an optimization model, involving chemical, biological and physical control decisions that can be applied to fight against the Aedes mosquito. To determine solutions for the optimization problem a genetic heuristic is proposed. Through the computational experiments, the algorithm shows considerable efficiency in achieving solutions that can support decision makers in controlling the mosquito population.
AB - Dengue Fever, Zika and Chikungunya are febrile infectious diseases transmitted by the Aedes species of mosquito with a high rate of mortality. The most common vector is Aedes aegypti. According to World Health Organization outbreaks of mosquito-borne illnesses are common in the tropical and sub-tropical climates, as there are currently no vaccines to protect against Dengue Fever, Chikungunya or Zika diseases. Hence, mosquito control is the only known method to protect human populations. Consequently, the affected countries need urgently search for better tools and sustained control interventions in order to stop the growing spread of the vector. This study presents an optimization model, involving chemical, biological and physical control decisions that can be applied to fight against the Aedes mosquito. To determine solutions for the optimization problem a genetic heuristic is proposed. Through the computational experiments, the algorithm shows considerable efficiency in achieving solutions that can support decision makers in controlling the mosquito population.
U2 - 10.1590/0101-7438.2018.038.03.0389
DO - 10.1590/0101-7438.2018.038.03.0389
M3 - Article
SN - 0101-7438
VL - 38
SP - 389
EP - 411
JO - Pesquisa Operacional
JF - Pesquisa Operacional
IS - 3
ER -
