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Student timetabling genetic algorithm accounting for student preferences

Universities face a constant challenge when distributing students and allocating them to their required classes, especially for a large mass of students. Generating feasible timetables is a strenuous task that requires plenty of resources, which makes it impractical to take student preferences into...

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Detalles Bibliográficos
Autores principales: Mahlous, Ahmed Redha, Mahlous, Houssam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280284/
https://www.ncbi.nlm.nih.gov/pubmed/37346570
http://dx.doi.org/10.7717/peerj-cs.1200

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