GENETIC ALGORITHM FOR OPTIMIZATION OF THE AEDES AEGYPTI CONTROL STRATEGIES
| Autor: | Célia Aparecida dos Reis, Luiz G. Lyra, Rogério Carvalho de Oliveira, Margarida Vaz Pato, Helenice de Oliveira Florentino, Dylan Jones, Fernando Luiz Pio dos Santos, Daniela Renata Cantane, Marianna Cerasuolo |
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| Přispěvatelé: | Universidade Estadual Paulista (Unesp), Universidade de Lisboa, University of Portsmouth |
| Jazyk: | angličtina |
| Předmět: |
0301 basic medicine
healthcare operational research 010103 numerical & computational mathematics Aedes aegypti Management Science and Operations Research Biology medicine.disease_cause Optimization models Healthcare operational research 01 natural sciences Dengue fever genetic algorithms 03 medical and health sciences Environmental health Genetic algorithm parasitic diseases medicine Chikungunya 0101 mathematics Aedes lcsh:Mathematics fungi Outbreak Genetic algorithms biology.organism_classification medicine.disease lcsh:QA1-939 Mosquito control 030104 developmental biology Vector (epidemiology) |
| Zdroj: | Pesquisa Operacional, Vol 38, Iss 3, Pp 389-411 Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP Pesquisa Operacional v.38 n.3 2018 Pesquisa operacional Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) instacron:SOBRAPO de Oliveira Florentino, H, Cantane, D R, Santos, F L P, Reis, C A, Vaz Pato, M, Jones, D, Cerasuolo, M, Oliveira, R & Lyra, L G 2018, ' Genetic algorithm for optimization of the Aedes aegypti control strategies ', Pesquisa Operacional, vol. 38, no. 3, pp. 389-411 . https://doi.org/10.1590/0101-7438.2018.038.03.0389 |
| ISSN: | 1678-5142 0101-7438 |
| DOI: | 10.1590/0101-7438.2018.038.03.0389 |
| Popis: | Made available in DSpace on 2019-10-06T16:15:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-09-01. Added 1 bitstream(s) on 2019-10-09T18:35:14Z : No. of bitstreams: 1 S0101-74382018000300389.pdf: 1481148 bytes, checksum: 4250fbe82816e44462ac07242c1e7bf4 (MD5) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação para o Desenvolvimento da UNESP (FUNDUNESP) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação para a Ciência e a Tecnologia Universidade Estadual Paulista 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 subtropical 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. Departamento de Bioestatística – IB UNESP, Bairro Rubião Júnior Departamento de Matemática – FC UNESP ISEG and CMAFCIO Universidade de Lisboa Centre for Operational Research and Logistics University of Portsmouth Department of Mathematics University of Portsmouth Departamento de Bioestatística – IB UNESP, Bairro Rubião Júnior Departamento de Matemática – FC UNESP FUNDUNESP: 0351/019/13 FAPESP: 2009/14901-4 FAPESP: 2009/15098-0 FAPESP: 2010/07585-6 FAPESP: 2014/01604-0 CNPq: 302454/2016-0 |
| Databáze: | OpenAIRE |
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