Optimizing Student Assignment to Educational Establishments: A Many-Objective Approach
This research addresses the problem of Student Allocation to Educational Establishments (SAEE) in a many-objetive optimization context. This problem affects the logistics of educational systems, as it is influenced by parameters such as availability, distance, infrastructure, among others. A first m...
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| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/176331 |
| Aporte de: |
| Sumario: | This research addresses the problem of Student Allocation to Educational Establishments (SAEE) in a many-objetive optimization context. This problem affects the logistics of educational systems, as it is influenced by parameters such as availability, distance, infrastructure, among others. A first mathematical formulation of the SAEE problem is proposed with five objective functions for the optimization of: (1) the difference between the number of students assigned and the optimal number of students per class, (2) the average distance between the student’s home and the institution, (3) the use of institutions with better infrastructure, (4) the maximum distance, and (5) the variance of the number of students assigned per class. To solve the proposed formulation, a Multi-Objective Evolutionary Algorithm (MOEA) based on NSGA-II is proposed. To validate this proposal, data provided by the Ministry of Education and Science of Paraguay (MEC) corresponding to Ciudad del Este - Alto Paran´a, from first grade to third grade, of 90 schools and 15,763 students were considered. Experimental results show significant improvements in the variance of the number of students assigned per class (by 22 %), which implies a more balanced distribution of the student population in the classrooms. |
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