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...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 29; číslo 3; s. 589 - 600
Hlavní autori:	Tao, Xin-Rui, Pan, Quan-Ke, Gao, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2025
Predmet:	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
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