UniSchedApi: A comprehensive solution for university resource scheduling and methodology comparison

This paper introduces UniSchedApi, an API-based solution that revolutionizes optimized university resource scheduling. The primary focus of the research is the detailed evaluation of two automatic resource allocation methods: Tabu Search (TS) and Genetic Algorithm (GA). The paper thoroughly explores...

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Autores:
La Cruz, Alexandra
Herrera, Luis
Cortes, Jeisson
García-León, Andrés Alberto
Severeyn, Erika
Tipo de recurso:
Article of investigation
Fecha de publicación:
2024
Institución:
Universidad de Ibagué
Repositorio:
Repositorio Universidad de Ibagué
Idioma:
eng
OAI Identifier:
oai:repositorio.unibague.edu.co:20.500.12313/6043
Acceso en línea:
https://doi.org/10.32397/tesea.vol5.n2.633
https://hdl.handle.net/20.500.12313/6043
https://revistas.utb.edu.co/tesea/article/view/633
Palabra clave:
Recursos universitarios
Metodología universitarias - Comparación
Genetic Algorithms
Metaheuristic Algorithms
Optimization
Optimization algorithms
Scheduling problem
Rights
openAccess
License
© 2024 by the authors.