Racette, P., Quesnel, F., Lodi, A., & Soumis, F. (2024). Gaining insight into crew rostering instances through ML-based sequential assignment. TOP: Transactions in Operations Research, 1-42. https://doi.org/10.1007/s11750-024-00678-8
ISO-690 (author-date, English)RACETTE, Philippe, QUESNEL, Frédéric, LODI, Andrea und SOUMIS, François, 2024. Gaining insight into crew rostering instances through ML-based sequential assignment. TOP: Transactions in Operations Research. 25 Juni 2024. P. 1-42. DOI 10.1007/s11750-024-00678-8.
Modern Language Association 9th editionRacette, P., F. Quesnel, A. Lodi, und F. Soumis. „Gaining Insight into Crew Rostering Instances through ML-Based Sequential Assignment“. TOP: Transactions in Operations Research, Juni 2024, S. 1-42, https://doi.org/10.1007/s11750-024-00678-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Racette, Philippe/Quesnel, Frédéric/Lodi, Andrea/Soumis, François: Gaining insight into crew rostering instances through ML-based sequential assignment, TOP: Transactions in Operations Research 2024, 1-42.
Emerald - HarvardRacette, P., Quesnel, F., Lodi, A. und Soumis, F. (2024), „Gaining insight into crew rostering instances through ML-based sequential assignment“, TOP: Transactions in Operations Research, S. 1-42.