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. Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 254-269.PUB | DOI