Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation
- Sebastian Kraul ,
Corresponding Author
Sebastian Kraul
[email protected]https://orcid.org/0000-0002-8779-555X
Department of Operations Analytics, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands;
- Markus Seizinger ,
Markus Seizinger
[email protected]https://orcid.org/0000-0002-2574-8969
Health Care Operations/Health Informations Management, University of Augsburg, 86159 Augsburg, Germany;
- Jens O. Brunner
Jens O. Brunner
[email protected]https://orcid.org/0000-0002-2700-4795
Health Care Operations/Health Informations Management, University of Augsburg, 86159 Augsburg, Germany;Department of Technology, Management, and Economics, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
Corresponding Author
Sebastian Kraul
[email protected]https://orcid.org/0000-0002-8779-555X
Department of Operations Analytics, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands;
Markus Seizinger
[email protected]https://orcid.org/0000-0002-2574-8969
Health Care Operations/Health Informations Management, University of Augsburg, 86159 Augsburg, Germany;
Jens O. Brunner
[email protected]https://orcid.org/0000-0002-2700-4795
Health Care Operations/Health Informations Management, University of Augsburg, 86159 Augsburg, Germany;Department of Technology, Management, and Economics, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark

