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Distributionally robust scheduling algorithms for total flow time minimization on parallel machines using norm regularizations
Novak, Antonin; Gnatowski, Andrzej; Sucha, Premysl - In: European journal of operational research : EJOR 302 (2022) 2, pp. 438-455
Persistent link: https://www.econbiz.de/10013269808
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Minimizing the weighted number of tardy jobs on a single machine : strongly correlated instances
Hejl, Lukáš; Šůcha, Přemysl; Novak, Antonin; … - In: European journal of operational research : EJOR 298 (2022) 2, pp. 413-424
Persistent link: https://www.econbiz.de/10013206864
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Scheduling jobs with normally distributed processing times on parallel machines
Novak, Antonin; Sucha, Premysl; Novotny, Matej; Stec, … - In: European journal of operational research : EJOR 297 (2022) 2, pp. 422-441
Persistent link: https://www.econbiz.de/10013259360
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Accelerating the branch-and-price algorithm using machine learning
Václavík, Roman; Novak, Antonin; Šůcha, Přemysl; … - In: European journal of operational research : EJOR 271 (2018) 3, pp. 1055-1069
Persistent link: https://www.econbiz.de/10011903270
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Scheduling with uncertain processing times in mixed-criticality systems
Novak, Antonin; Sucha, Premysl; Hanzalek, Zdenek - In: European journal of operational research : EJOR 279 (2019) 3, pp. 687-703
Persistent link: https://www.econbiz.de/10012102755
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Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Bouška, Michal; Šůcha, Přemysl; Novak, Antonin; … - In: European journal of operational research : EJOR 308 (2023) 3, pp. 990-1006
Persistent link: https://www.econbiz.de/10014311872