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A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems
Research article (International Journal of Production Research, 2022) · cited 34× · AI/ML
A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems
Summary
A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems is a scholarly article[1].
Key Facts
A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-objective-reinforcement-learning-approach-for-resequencing-scheduling-problems-in-automotive-manufacturing-syste
BibTeX@misc{4ortxyz_a-multi-objective-reinforcement-learning-approach-for-resequencing-scheduling-problems-in-automotive-manufacturing-syste_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-objective-reinforcement-learning-approach-for-resequencing-scheduling-problems-in-automotive-manufacturing-syste}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems — https://4ort.xyz/entity/a-multi-objective-reinforcement-learning-approach-for-resequencing-scheduling-problems-in-automotive-manufacturing-syste (retrieved 2026-05-24)
