Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm

The objective of this proposal is to implement a school day agenda focused on the learning rhythms of students of elementary and secondary schools using a genetic algorithm. The methodology of this proposal takes into account legal requirements and constraints on the assignment of teachers and class...

Full description

Autores:
Suarez Chilma, Victor F.
Castrillón Gomez, Omar D.
Guerrero Aguirre, Álvaro
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/14411
Acceso en línea:
http://hdl.handle.net/10784/14411
Palabra clave:
Learning Rhythms
Genetic Algorithm
Class Schedule
Optimization
Logistic
Ritmos De Aprendizaje
Algoritmo Genético
Horario De Clases
Optimización
Logística
Rights
License
Copyright (c) 2013 Victor F. Suarez Chilma, Omar D. Castrillón Gomez, Álvaro Guerrero Aguirre
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dc.title.eng.fl_str_mv Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
dc.title.spa.fl_str_mv Asignación de horarios de clase basado en los ritmos de aprendizaje de los estudiantes usando un algoritmo genético
title Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
spellingShingle Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
Learning Rhythms
Genetic Algorithm
Class Schedule
Optimization
Logistic
Ritmos De Aprendizaje
Algoritmo Genético
Horario De Clases
Optimización
Logística
title_short Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
title_full Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
title_fullStr Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
title_full_unstemmed Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
title_sort Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic Algorithm
dc.creator.fl_str_mv Suarez Chilma, Victor F.
Castrillón Gomez, Omar D.
Guerrero Aguirre, Álvaro
dc.contributor.author.spa.fl_str_mv Suarez Chilma, Victor F.
Castrillón Gomez, Omar D.
Guerrero Aguirre, Álvaro
dc.contributor.affiliation.spa.fl_str_mv Universidad Nacional de Colombia
dc.subject.keyword.eng.fl_str_mv Learning Rhythms
Genetic Algorithm
Class Schedule
Optimization
Logistic
topic Learning Rhythms
Genetic Algorithm
Class Schedule
Optimization
Logistic
Ritmos De Aprendizaje
Algoritmo Genético
Horario De Clases
Optimización
Logística
dc.subject.keyword.spa.fl_str_mv Ritmos De Aprendizaje
Algoritmo Genético
Horario De Clases
Optimización
Logística
description The objective of this proposal is to implement a school day agenda focused on the learning rhythms of students of elementary and secondary schools using a genetic algorithm. The methodology of this proposal takes into account legal requirements and constraints on the assignment of teachers and classrooms in public educational institutions in Colombia. In addition, this proposal provides a set of constraints focused on cognitive rhythms and subjects are scheduled at the most convenient times according to the area of knowledge. The genetic algorithm evolves through a process of mutation and selection and builds a total solution based on the best solutions for each group. Sixteen groups in a school are tested and the results of class schedule assignments are presented. The quality of the solution obtained through the established approach is validated by comparing the results to the solutions obtained using another algorithm.
publishDate 2013
dc.date.issued.none.fl_str_mv 2013-03-22
dc.date.available.none.fl_str_mv 2019-11-22T17:02:39Z
dc.date.accessioned.none.fl_str_mv 2019-11-22T17:02:39Z
dc.date.none.fl_str_mv 2013-03-22
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 2256-4314
1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/14411
dc.identifier.doi.none.fl_str_mv 10.17230/ingciecia.9.17.4
identifier_str_mv 2256-4314
1794-9165
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url http://hdl.handle.net/10784/14411
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1832
dc.relation.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1832
dc.rights.eng.fl_str_mv Copyright (c) 2013 Victor F. Suarez Chilma, Omar D. Castrillón Gomez, Álvaro Guerrero Aguirre
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rights_invalid_str_mv Copyright (c) 2013 Victor F. Suarez Chilma, Omar D. Castrillón Gomez, Álvaro Guerrero Aguirre
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dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 9, No 17 (2013)
instname_str Universidad EAFIT
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reponame_str Repositorio Institucional Universidad EAFIT
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2013-03-222019-11-22T17:02:39Z2013-03-222019-11-22T17:02:39Z2256-43141794-9165http://hdl.handle.net/10784/1441110.17230/ingciecia.9.17.4The objective of this proposal is to implement a school day agenda focused on the learning rhythms of students of elementary and secondary schools using a genetic algorithm. The methodology of this proposal takes into account legal requirements and constraints on the assignment of teachers and classrooms in public educational institutions in Colombia. In addition, this proposal provides a set of constraints focused on cognitive rhythms and subjects are scheduled at the most convenient times according to the area of knowledge. The genetic algorithm evolves through a process of mutation and selection and builds a total solution based on the best solutions for each group. Sixteen groups in a school are tested and the results of class schedule assignments are presented. The quality of the solution obtained through the established approach is validated by comparing the results to the solutions obtained using another algorithm.El objetivo de esta propuesta es implementar una agenda de día escolar enfocada en los ritmos de aprendizaje de los estudiantes de escuelas primarias y secundarias utilizando un algoritmo genético. La metodología de esta propuesta tiene en cuenta los requisitos legales y las limitaciones en la asignación de maestros y aulas en instituciones educativas públicas en Colombia. Además, esta propuesta proporciona un conjunto de restricciones centradas en los ritmos cognitivos y los temas se programan en los momentos más convenientes según el área de conocimiento. El algoritmo genético evoluciona a través de un proceso de mutación y selección y construye una solución total basada en las mejores soluciones para cada grupo. Dieciséis grupos en una escuela se evalúan y se presentan los resultados de las tareas del horario de clases. La calidad de la solución obtenida a través del enfoque establecido se valida comparando los resultados con las soluciones obtenidas utilizando otro algoritmo.application/pdfengUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1832http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1832Copyright (c) 2013 Victor F. Suarez Chilma, Omar D. Castrillón Gomez, Álvaro Guerrero AguirreAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 9, No 17 (2013)Class Schedule Assignment Based on Students Learning Rhythms Using A Genetic AlgorithmAsignación de horarios de clase basado en los ritmos de aprendizaje de los estudiantes usando un algoritmo genéticoarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Learning RhythmsGenetic AlgorithmClass ScheduleOptimizationLogisticRitmos De AprendizajeAlgoritmo GenéticoHorario De ClasesOptimizaciónLogísticaSuarez Chilma, Victor F.Castrillón Gomez, Omar D.Guerrero Aguirre, ÁlvaroUniversidad Nacional de ColombiaIngeniería y Ciencia9177795ing.cienc.THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/0bbfb73a-30b3-4a8c-b23d-d4455336c3d1/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINALdocument (6).pdfdocument (6).pdfTexto completo PDFapplication/pdf528563https://repository.eafit.edu.co/bitstreams/d23dc2c4-4266-4a69-88c3-16864c95487c/downloadae1f2a7551d73ab9023de174f3bf03b2MD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/1c9b0cd5-ab93-4545-9a8f-94a5763025e8/downloadda74d133a9541740285ee62327df690bMD5310784/14411oai:repository.eafit.edu.co:10784/144112020-03-02 21:08:47.395open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co

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