Deep reinforcement learning for dynamic scheduling of a flexible job shop
Renke Liu, Rajesh Piplani and Carlos Toro
| Year of publication: |
2022
|
|---|---|
| Authors: | Liu, Renke ; Piplani, Rajesh ; Toro, Carlos |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 60.2022, 13, p. 4049-4069
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| Subject: | Dynamic scheduling | deep reinforcement learning | distributed multi-agent systems | flexible job shop | hierarchical scheduling | Scheduling-Verfahren | Scheduling problem | Agentenbasierte Modellierung | Agent-based modeling | Produktionssteuerung | Production control | Algorithmus | Algorithm |
| Description of contents: | Description [tandfonline.com] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2022.2058432 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013499575