Deep reinforcement learning based proximal policy optimization algorithm for dynamic job shop scheduling
Minghai Yuan, Qi Yu, Lizhi Zhang, Songwei Lu, Zichen Li, Fengque Pei
| Year of publication: |
2025
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|---|---|
| Authors: | Yuan, Minghai ; Yu, Qi ; Zhang, Lizhi ; Lu, Songwei ; Li, Zichen ; Pei, Fengque |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 183.2025, Art.-No. 107149, p. 1-12
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| Subject: | Deep reinforcement learning | Intelligent manufacturing workshop | Job-shop scheduling | Proximal policy optimization | Scheduling-Verfahren | Scheduling problem | Algorithmus | Algorithm | Theorie | Theory | Produktionssteuerung | Production control | Lernprozess | Learning process | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107149 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015455262