An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming

Research article (Expert Systems with Applications, 2024) · cited 26× · AI/ML
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An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming

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An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-q-learning-integrated-multi-objective-hyper-heuristic-approach-for-hybrid-flow-shop-scheduling-problems-wit
MLA “An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-q-learning-integrated-multi-objective-hyper-heuristic-approach-for-hybrid-flow-shop-scheduling-problems-wit.
BibTeX @misc{4ortxyz_an-efficient-q-learning-integrated-multi-objective-hyper-heuristic-approach-for-hybrid-flow-shop-scheduling-problems-wit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-q-learning-integrated-multi-objective-hyper-heuristic-approach-for-hybrid-flow-shop-scheduling-problems-wit}, note = {Accessed: 2026-05-24}}
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