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A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem
Research article (Journal of Manufacturing Systems, 2025) · cited 14× · AI/ML
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem
Summary
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem is a scholarly article[1].
Key Facts
A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-with-graph-attention-network-and-multi-signal-differential-reward-for-dynamic-hyb
MLA“A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-with-graph-attention-network-and-multi-signal-differential-reward-for-dynamic-hyb.
BibTeX@misc{4ortxyz_a-deep-reinforcement-learning-approach-with-graph-attention-network-and-multi-signal-differential-reward-for-dynamic-hyb_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-with-graph-attention-network-and-multi-signal-differential-reward-for-dynamic-hyb}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem — https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-with-graph-attention-network-and-multi-signal-differential-reward-for-dynamic-hyb (retrieved 2026-05-24)
