Machine learning for combinatorial optimization : a methodological tour d'horizon
Yoshua Bengio, Andrea Lodi, Antoine Prouvost
| Year of publication: |
2021
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|---|---|
| Authors: | Bengio, Yoshua ; Lodi, Andrea ; Prouvost, Antoine |
| Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 290.2021, 2 (16.4.), p. 405-421
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| Subject: | Branch and bound | Combinatorial optimization | Machine learning | Mixed-integer programming solvers | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Scheduling-Verfahren | Scheduling problem | Branch-and-Bound | Branch and Bound | Ganzzahlige Optimierung | Integer programming | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2020.07.063 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012495192