Till Porrmann
PEVZ-ID
2 Publikationen
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984133Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain DemandsPUB | DOI
Römer, Michael, Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands. Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers (). Cham, 2023 -
2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958571Learning to Reduce State-Expanded Networks for Multi-activity Shift SchedulingPUB | DOI
Porrmann, Till, Learning to Reduce State-Expanded Networks for Multi-activity Shift Scheduling. Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 18th International Conference, CPAIOR 2021, Vienna, Austria, July 5–8, 2021, Proceedings 12735 (). Cham, 2021