Approximate kernel learning uncertainty set for robust combinatorial optimization
Benoît Loger, Alexandre Dolgui, Fabien Lehuédé, Guillaume Massonnet
| Year of publication: |
2024
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| Authors: | Loger, Benoît ; Dolgui, Alexandre ; Lehuédé, Fabien ; Massonnet, Guillaume |
| 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. 36.2024, 3, p. 900-917
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| Subject: | data-driven | machine learning | mixed-integer linear programming | robust optimization | Robustes Verfahren | Robust statistics | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process | Scheduling-Verfahren | Scheduling problem |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoc.2022.0330 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014634786