Comparison of evolutive algorithms for optimization in the classification of obesity in schools

Revista UCMaule

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Title Comparison of evolutive algorithms for optimization in the classification of obesity in schools
Comparación de algoritmos evolutivos para la optimización en la clasificación de la obesidad en escolares
 
Creator Arenas Rodríguez, Ana Cecilia
Torres Naira, Carlos Alberto
Vizcarra Huyhua, Flor de María
Sulla Torres, José
Méndez Cornejo, Jorge
 
Description The aim of the study is to compare three different evolutionary algorithms: Real Encoding Particle Swarm Optimization (REPSO-C), Incremental Learning with Genetic Algorithms (ILGA) and Decision Tree with Genetic Algorithm (DT-GA) to determine the percent improvement during each iteration of each of the algorithms on a database related to school obesity. For this purpose, the Keel tool was used, which allowed data loading, preparation, processing and analysis of results, both in training and in the tests performed. The precision found by the execution of each of the algorithms, allows to conclude that the model using decision tree and genetic algorithm DT-GA is the best one due to the level of precision that it possesses.
El estudio tiene por objetivo comparar tres tipos de algoritmos evolutivos diferentes: Real Encoding Particle Swarm Optimization (REPSO–C), Incremental Learning with Genetic Algorithms (ILGA) y Decision Tree with Genetic Algorithm (DT-GA), para determinar el porcentaje de mejora durante cada iteración que tiene cada uno de los algoritmos sobre una base de datos relacionadas con la obesidad escolar. Se utilizó la herramienta denominada Keel, que permitió cargar los datos, prepararlos, procesarlos y analizar los resultados, tanto en el entrenamiento, como en las pruebas realizadas. La precisión encontrada por la ejecución de cada uno de los algoritmos, permite concluir que el modelo que utiliza árbol de decisión y algoritmo genético DT-GA es el mejor, debido al nivel de precisión que posee.
 
Publisher Universidad Católica del Maule
 
Date 2016-12-10
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
text/html
 
Identifier http://revistaucmaule.ucm.cl/article/view/15
 
Source UCMaule; Núm. 51 (2016): UCMaule; 25-42
0719-9872
0717-2656
 
Language spa
 
Relation http://revistaucmaule.ucm.cl/article/view/15/14
http://revistaucmaule.ucm.cl/article/view/15/142
 

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