A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem
Renke Liu, Rajesh Piplani, Carlos Toro
| Year of publication: |
2023
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|---|---|
| Authors: | Liu, Renke ; Piplani, Rajesh ; Toro, Carlos |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 159.2023, p. 1-17
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| Subject: | Deep reinforcement learning | Dynamic scheduling | Job shop scheduling | Multi-agent reinforcement learning | Scheduling-Verfahren | Scheduling problem | Agentenbasierte Modellierung | Agent-based modeling | Theorie | Theory | Lernprozess | Learning process | Lernen | Learning | 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.2023.106294 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014455571