Multi-agent Learning by Trial and Error for Resource Leveling during Multi-Project (Re)scheduling
In a multi-project context within enterprise networks, reaching feasible solutions to the (re)scheduling problem represents a major challenge, mainly when scarce resources are shared among projects. Thus, the multi-project (re)scheduling must achieve the most efficient possible resource usage withou...
Guardado en:
| Autores principales: | Tosselli, Laura, Bogado, Verónica S., Martínez, Ernesto |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/70117 |
| Aporte de: |
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