An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging

The distributed hybrid flowshop scheduling problems (DHFSPs) widely exist in various industrial production processes, and thus have received widespread attention. However, the existing research mainly focuses on interfactory and intermachine collaboration, but ignores collaborative processing betwee...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 29; H. 3; S. 589 - 600
Hauptverfasser:	Tao, Xin-Rui, Pan, Quan-Ke, Gao, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2025
Schlagworte:	Collaboration Distributed hybrid flowshop Greedy algorithms Heuristic algorithms iterated greedy algorithm job merging Merging Optimization Prediction algorithms Production facilities reinforcement learning (RL) rescheduling
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!