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Common due date scheduling with autonomous and induced learning
Biskup, Dirk; Simons, Dirk - 2002
Persistent link: https://www.econbiz.de/10001768499
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On a learning precedence graph concept for the automotive industry
Klindworth, Hanne; Otto, Christian; Scholl, Armin - 2010
Persistent link: https://www.econbiz.de/10008695388
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Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
Yaakoubi, Yassine; Dimitrakopoulos, Roussos - 2022
Persistent link: https://www.econbiz.de/10012939456
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Learning tabu search algorithms : a scheduling application
Niroumandrad, Nazgol; Lahrichi, Nadia; Lodi, Andrea - 2022
Persistent link: https://www.econbiz.de/10013179372
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Learning to enumerate shifts for large-scale flexible personnel scheduling problems
Rastgar-Amini, Farin; Contardo, Claudio; Desaulniers, Guy; … - 2022
Persistent link: https://www.econbiz.de/10013279820
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A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions
Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah - 2022
Persistent link: https://www.econbiz.de/10013502350
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Single-machine scheduling with learning considerations
Biskup, Dirk - 1998
Persistent link: https://www.econbiz.de/10013385319
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Learning to play the box-sizing game : a machine learning approach for solving the e-commerce packaging problem
Kandula, Shanthan; Krishnamoorthy, Srikumar; Roy, Debjit - 2021
Persistent link: https://www.econbiz.de/10012794490
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On the on-line scheduling algorithm RLS
Chen, Bo; Vliet, André van - 1993
Persistent link: https://www.econbiz.de/10000122499
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An O(n log n) algorithm for the two-machine flow shop problem with variable machine speeds
Hoesel, C. P. van; Wagelmans, A. P.; Vliet, Martina van - 1993
Persistent link: https://www.econbiz.de/10000122510