1 Publikation
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984133Römer, M.; Hagemann, F.; Porrmann, T. (2023): Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands. In: Meinolf Sellmann; Kevin Tierney (Hrsg.): Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers. Cham: Springer International Publishing. (Lecture Notes in Computer Science, ). S. 254-269.PUB | DOI