1 Publikation
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984133PUB | DOIRömer, M., Hagemann, F. & Porrmann, T. (2023). Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands (Lecture Notes in Computer Science). In M. Sellmann & K. Tierney (Hrsg.), Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers (S. 254-269). Cham: Springer International Publishing. doi:10.1007/978-3-031-44505-7_18.