| Full text | |
| Author(s): |
Helenice O. Florentino
[1]
;
Daniela R. Cantane
[2]
;
Fernando L.P. Santos
[3]
;
Célia A. Reis
[4]
;
Margarida V. Pato
[5]
;
Dylan Jones
;
Marianna Cerasuolo
[7]
;
Rogério A. Oliveira
[8]
;
Luiz G. Lyra
[9]
Total Authors: 9
|
| Affiliation: | [1] UNESP. Departamento de Bioestatística - IB - Brasil
[2] UNESP. Departamento de Bioestatística - IB - Brasil
[3] UNESP. Departamento de Bioestatística - IB - Brasil
[4] UNESP. Departamento de Matemática - FC - Brasil
[5] Universidade de Lisboa. CMAFCIO. ISEG - Portugal
[7] University of Portsmouth. Department of Mathematics - Reino Unido
[8] UNESP. Departamento de Bioestatística - IB - Brasil
[9] UNESP. Departamento de Bioestatística - IB - Brasil
Total Affiliations: 9
|
| Document type: | Journal article |
| Source: | Pesquisa Operacional; v. 38, n. 3, p. 389-411, 2018-12-00. |
| Abstract | |
ABSTRACT 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. (AU) | |
| FAPESP's process: | 10/07585-6 - Heuristic techniques for solving multiobjective models |
| Grantee: | Helenice de Oliveira Florentino Silva |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |
| FAPESP's process: | 09/14901-4 - Process optimization in sugarcane industry |
| Grantee: | Helenice de Oliveira Florentino Silva |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 09/15098-0 - Assessing control of epidemics using mathematical and computer models |
| Grantee: | Hyun Mo Yang |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 14/01604-0 - A multiobjective methodology for renewable energy |
| Grantee: | Helenice de Oliveira Florentino Silva |
| Support Opportunities: | Scholarships abroad - Research |