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 M. Sellmann & K. Tierney (Eds.), Lecture Notes in Computer Science. Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers (pp. 254-269). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-44505-7_18PUB | DOI