Deep reinforcement learning for solving efficient and energy-saving flexible job shop scheduling problem with multi-AGV
Weiyao Cheng, Chaoyong Zhang, Leilei Meng, Biao Zhang, Kaizhou Gao, Hongyan Sang
| Year of publication: |
2025
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|---|---|
| Authors: | Cheng, Weiyao ; Zhang, Chaoyong ; Meng, Leilei ; Zhang, Biao ; Gao, Kaizhou ; Sang, Hongyan |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 181.2025, Art.-No. 107087, p. 1-24
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| Subject: | Automatic guided vehicle | Deep Q-network | Deep reinforcement learning | Flexible job shop scheduling problem | Scheduling-Verfahren | Scheduling problem | Algorithmus | Algorithm | Theorie | Theory | Produktionssteuerung | Production control |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107087 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015433677