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Iterative rule extension for logic analysis of data : an MILP-based heuristic to derive interpretable binary classifiers from large data sets
Balvert, Marleen - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 3, pp. 723-741
Persistent link: https://www.econbiz.de/10014634726
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On solving MAX-SAT using sum of squares
Sinjorgo, Lennart; Sotirov, Renata - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 2, pp. 417-433
Persistent link: https://www.econbiz.de/10014532298
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An iterated dual substitution approach for binary integer programming problems under the min-max regret criterion
Wu, Wei; Iori, Manuel; Martello, Silvano; Yagiura, Mutsunori - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 5, pp. 2523-2539
Persistent link: https://www.econbiz.de/10014325512
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Machine learning : supported prediction of dual variables for the cutting stock problem with an application in stabilized column generation
Kraul, Sebastian; Seizinger, Markus; Brunner, Jens O. - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 3, pp. 692-709
Persistent link: https://www.econbiz.de/10014328032
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Tight and compact sample average approximation for joint chance-constrained problems with applications to optimal power flow
Porras, Álvaro; Domínguez, Concepción; Morales, Juan M. - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 6, pp. 1454-1469
Persistent link: https://www.econbiz.de/10014471529
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On a reduction for a class of resource allocation problems
Schoot Uiterkamp, Martijn H. H.; Gerards, Marco E. T.; … - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 3, pp. 1387-1402
Persistent link: https://www.econbiz.de/10013361646