An ACO model for a non-stationary formulation of the single elevator problem
The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments. In the ACO metaheuristic, a colony of artificial ants cooperate for finding high quality solutions in a reasonable time. An interest...
Guardado en:
| Autores principales: | Molina, Silvia, Leguizamón, Mario Guillermo, Alba Torres, Enrique |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2007
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9527 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-8.pdf |
| Aporte de: |
Ejemplares similares
-
Un modelo ACO para una versión no estacionaria del problema del ascensor único
por: Molina, Silvia, et al.
Publicado: (2006) -
An ACO approach for the Parallel Machines Scheduling Problem
por: Gatica, Claudia R., et al.
Publicado: (2008) -
Current applications of ant systems for subset problems
por: Leguizamón, Guillermo
Publicado: (2000) -
New ACO algorithm for image edge detection
por: Martínez, C.A., et al. -
New ACO algorithm for image edge detection
Publicado: (2014)