Learning to approximate industrial problems by operations research classic problems
Axel Parmentier
| Year of publication: |
2022
|
|---|---|
| Authors: | Parmentier, Axel |
| Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 70.2022, 1, p. 606-623
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| Subject: | column generation | Optimization | machine learning for operations research | matheuristic | path problem | stochastic vehicle scheduling problem | structured learning | Theorie | Theory | Operations Research | Operations research | Lernprozess | Learning process | Tourenplanung | Vehicle routing problem | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming | Künstliche Intelligenz | Artificial intelligence |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/opre.2020.2094 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012820675