Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem
| Year of publication: |
2025
|
|---|---|
| Authors: | Zhang, Wenqiang ; Bao, Xuan ; Geng, Huili ; Zhang, Guohui ; Gen, Mitsuo |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 183.2025, Art.-No. 107155, p. 1-16
|
| Subject: | Deep reinforcement learning | Expert-guided strategy | Flexible job-shop scheduling problem | Graph neural network | Priority dispatching rules | Scheduling-Verfahren | Scheduling problem | Neuronale Netze | Neural networks | Graphentheorie | Graph theory | Algorithmus | Algorithm | Produktionssteuerung | Production control | Flexibles Fertigungssystem | Flexible manufacturing system | Lernprozess | Learning process |
-
A Petri Net based algorithms for minimizing total tardiness in flexible manufacturing systems
Mejía, Gonzalo, (2008)
-
Flexible job-shop scheduling with transportation resources
Berterottière, Lucas, (2024)
-
Sun, Jinghe, (2021)
- More ...
-
Sun, Jinghe, (2021)
-
Designing facility layout and manufacturing cells by hybrid genetic algorithms
Gen, Mitsuo, (2018)
-
An effective hybrid multi-objective evolutionay algorithm for manufacturing scheduling problems
Zhang, Wenqiang, (2018)
- More ...