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A Genetic Algorithm Solution for Scheduling Problem

  • Universidad del Istmo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferencia

1 Cita (Scopus)

Resumen

This paper proposes a solution for university timetable scheduling problem through a Genetic Algorithm. The solution to this problem consists of assigning schedules, subjects and human resources, this for the correct distribution of classes in the Computer Engineering career at the University of Isthmus, in Sto. Domingo Tehuantepec Oaxaca, Mexico. The problem of generating schedules in an educational institution increases in complexity depending on the number of professors, the number of subjects taught and all the constraints existing in that assignment. And so, the need arises to find alternative solutions for this laborious process, one of which is the implementation of a Genetic Algorithm.
Idioma originalInglés
Título de la publicación alojadaCONIIN 2021 - 17th International Engineering Congress
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665407243
DOI
EstadoPublicada - 1 ene 2021
Publicado de forma externa
Evento17th International Engineering Congress, CONIIN 2021 - Santiago de Queretaro, México
Duración: 14 jun 202118 jun 2021

Serie de la publicación

NombreCONIIN 2021 - 17th International Engineering Congress

Conferencia

Conferencia17th International Engineering Congress, CONIIN 2021
País/TerritorioMéxico
CiudadSantiago de Queretaro
Período14/06/2118/06/21

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