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...
- Autores:
-
La Cruz, Alexandra
Herrera, Luis
Cortes, Jeisson
García-León, Andrés Alberto
Severeyn, Erika
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/13550
- Acceso en línea:
- https://doi.org/10.32397/tesea.vol5.n2.633
- Palabra clave:
- Optimization
Optimization algorithms
Genetic Algorithms
Metaheuristic Algorithms
Scheduling problem
- Rights
- openAccess
- License
- Alexandra La Cruz, Luis Herrera, Jeisson Cortes, Andrés García, Erika Severeyn - 2024