A trajectory-based algorithm enhanced by Q-learning and cloud integration for hybrid flexible flowshop scheduling problem with sequence-dependent setup times : a case study
Fehmi Burcin Ozsoydan
| Year of publication: |
2025
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| Authors: | Ozsoydan, Fehmi Burcin |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 181.2025, Art.-No. 107079, p. 1-19
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| Subject: | Cloud computing | Hybrid flexible flowshop scheduling | Iterated greedy search | Q-learning | Reinforcement learning | Scheduling-Verfahren | Scheduling problem | Cloud Computing | Algorithmus | Algorithm | Durchlaufzeit | Lead time | Heuristik | Heuristics | Evolutionärer Algorithmus | Evolutionary algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107079 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015433683