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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Bibliographic Details

Published in:	IEEE transactions on evolutionary computation Vol. 29; no. 3; pp. 589 - 600
Main Authors:	Tao, Xin-Rui, Pan, Quan-Ke, Gao, Liang
Format:	Journal Article
Language:	English
Published:	IEEE 01.06.2025
Subjects:	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 Access:	Get full text
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