Machine learning : supported prediction of dual variables for the cutting stock problem with an application in stabilized column generation
Sebastian Kraul, Markus Seizinger, Jens O. Brunner
| Year of publication: |
2023
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|---|---|
| Authors: | Kraul, Sebastian ; Seizinger, Markus ; Brunner, Jens O. |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 35.2023, 3, p. 692-709
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| Subject: | machine learning | cutting stock problem | duality | parameter optimization | stabilized column generation | Künstliche Intelligenz | Artificial intelligence | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Packproblem | Packing problem | Operations Research | Operations research |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoc.2023.1277 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014328032