GENETIC ALGORITHM FOR OPTIMIZATION OF THE AEDES AEGYPTI CONTROL STRATEGIES
Author:
Affiliation:
1. UNESP, Brazil
2. Universidade de Lisboa, Portugal
3. University of Portsmouth, United Kingdom; University of Portsmouth, United Kingdom
4. University of Portsmouth, United Kingdom
Publisher
FapUNIFESP (SciELO)
Subject
Management Science and Operations Research
Link
http://www.scielo.br/pdf/pope/v38n3/1678-5142-pope-38-03-389.pdf
Reference25 articles.
1. An optimal control problem arising from a dengue disease transmission model;ALDILA D;Mathematical Biosciences,2013
2. A multiobjective optimization approach for combating Aedes aegypti using chemical and biological alternated step-size control;DIAS WO;Mathematical Biosciences,2015
3. Mathematical model to assess the control of Aedes aegypti mosquitoes by the Sterile Insect Technique;ESTEVA L;Mathematical Biosciences,2005
4. Multiobjective genetic algorithm applied to dengue control;FLORENTINO HO;Mathematical Biosciences,2014
5. Applied Numerical Analysis;GERALD C,2003
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3. Chemical Composition and Larvicidal Activity of Essential Oil from Citrus aurantifolia (Christm.) Swingle bark Against Aedes aegypti Larvae;Revista Virtual de Química;2023
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