Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention

Research article (Applied Soft Computing, 2025) · cited 11× · AI/ML
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Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention

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Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-the-flexible-job-shop-scheduling-problem-via-deep-reinforcement-learning-with-mean-multichannel-graph-attenti
MLA “Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-the-flexible-job-shop-scheduling-problem-via-deep-reinforcement-learning-with-mean-multichannel-graph-attenti.
BibTeX @misc{4ortxyz_optimizing-the-flexible-job-shop-scheduling-problem-via-deep-reinforcement-learning-with-mean-multichannel-graph-attenti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-the-flexible-job-shop-scheduling-problem-via-deep-reinforcement-learning-with-mean-multichannel-graph-attenti}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention — https://4ort.xyz/entity/optimizing-the-flexible-job-shop-scheduling-problem-via-deep-reinforcement-learning-with-mean-multichannel-graph-attenti (retrieved 2026-05-24)

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