Accelerated windowing for the crew rostering problem with machine learning
Philippe Racette, Frédéric Quesnel, Andrea Lodi, François Soumis
| Year of publication: |
[2025]
|
|---|---|
| Authors: | Racette, Philippe ; Quesnel, Frédéric ; Lodi, Andrea ; Soumis, François |
| Publisher: |
Montréal (Québec), Canada : GERAD, HÉC Montréal |
| Subject: | Crew rostering | crew scheduling | discrete optimization | evolutionary algorithm | machine learning | reinforcement learning | Künstliche Intelligenz | Artificial intelligence | Personaleinsatzplanung | Crew scheduling | Lernprozess | Learning process | Algorithmus | Algorithm | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory | Lernen | Learning |
freely available
| Extent: | 1 Online-Ressource (circa 21 Seiten) Illustrationen |
|---|---|
| Series: | Les cahiers du GERAD. - Montréal (Québec), Canada : GERAD, HÉC Montréal, ZDB-ID 3026340-2. - Vol. G-2025, 24 (March 2025) |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015331560