| Revista: | Latin-American Journal of Computing (LAJC) |
| Base de datos: | |
| Número de sistema: | 000565080 |
| ISSN: | 1390-9134 |
| Autores: | Pisco, Juan1 Bayas, Abraham1 Najarro, Rodolfo1 Puris, Amilkar1 Novoa, Pavel1 |
| Instituciones: | 1Universidad Técnica Estatal de Quevedo, |
| Año: | 2017 |
| Volumen: | 4 |
| Número: | 1 |
| Paginación: | 7-7 |
| País: | Ecuador |
| Idioma: | Inglés |
| Resumen en inglés | In this paper the problem of obtaining the Optimal Workforce Planning for enterprises is addressed as a mathematical optimization problem. Given the complexity and specific features of the corresponding optimization model, the Ant Colony Optimization metaheuristic was applied as the solution method. From computational experiments, we have shown the effectiveness of our proposal versus other state-of-art algorithms. |
| Keyword: | Workforce planning, metaheuristics, ant colony optimization |
| Texto completo: | Texto completo (Ver PDF) |
