Gaining insight into crew rostering instances through ML-based sequential assignment
Philippe Racette, Frédéric Quesnel, Andrea Lodi, François Soumis
| Year of publication: |
2024
|
|---|---|
| Authors: | Racette, Philippe ; Quesnel, Frédéric ; Lodi, Andrea ; Soumis, François |
| Published in: |
Top : an official journal of the Spanish Society of Statistics and Operations Research. - Berlin : Springer, ISSN 1863-8279, ZDB-ID 2322573-7. - Vol. 32.2024, 3, p. 537-578
|
| Subject: | Crew rostering | Crew scheduling | Discrete optimization | Evolutionary algorithm | Machine learning | Reinforcement learning | Personaleinsatzplanung | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Lernprozess | Learning process | Evolutionärer Algorithmus | Algorithmus | Algorithm | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s11750-024-00678-8 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015188218