Predicting tactical solutions to operational planning problems under imperfect information
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi
| Year of publication: |
2022
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|---|---|
| Authors: | Larsen, Eric ; Lachapelle, Sébastien ; Bengio, Yoshua ; Frejinger, Emma ; Lacoste-Julien, Simon ; Lodi, Andrea |
| 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. 34.2022, 1, p. 227-242
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| Subject: | deep learning | integer linear programming | stochastic programming | supervised learning | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Lernprozess | Learning process | Unvollkommene Information | Incomplete information | Stochastischer Prozess | Stochastic process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoc.2021.1091 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013358938