A reinforcement learning-improved genetic algorithm for order reorganization-driven energy-efficient flexible job-shop hybrid batch scheduling towards mass personalized manufacturing
Haiqi Zou, Kaipu Wang, Zhuhao Hou, Yibing Li, Jun Guo, Liang Gao
| Year of publication: |
2026
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|---|---|
| Authors: | Zou, Haiqi ; Wang, Kaipu ; Hou, Zhuhao ; Li, Yibing ; Guo, Jun ; Gao, Liang |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 185.2026, Art.-No. 107304, p. 1-28
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| Subject: | Flexible job-shop scheduling | Genetic algorithm | Hybrid batching | Mass personalized manufacturing | Order reorganization | Reinforcement learning | Evolutionärer Algorithmus | Evolutionary algorithm | Scheduling-Verfahren | Scheduling problem | Flexibles Fertigungssystem | Flexible manufacturing system | Produktionssteuerung | Production control | Theorie | Theory | Algorithmus | Algorithm | Heuristik | Heuristics |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107304 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015552377