Using machine learning to include planners' preferences in railway crew scheduling optimization
Theresa Gattermann-Itschert, Laura Maria Poreschack, Ulrich W. Thonemann
| Year of publication: |
2023
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|---|---|
| Authors: | Gattermann-Itschert, Theresa ; Poreschack, Laura Maria ; Thonemann, Ulrich |
| Published in: |
Transportation science. - Hanover, Md. : INFORMS, ISSN 1526-5447, ZDB-ID 2015901-8. - Vol. 57.2023, 3, p. 796-812
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| Subject: | crew scheduling | machine learning | optimization | preferences | Künstliche Intelligenz | Artificial intelligence | Personaleinsatzplanung | Crew scheduling | Schienenverkehr | Railway transport | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/trsc.2022.1196 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014311123