Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles

Research article (Applied Energy, 2024) · cited 21× · AI/ML
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Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles

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Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-objective-optimization-with-q-learning-for-cruise-and-power-allocation-control-parameters-of-connected-fuel-cell-h
MLA “Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-objective-optimization-with-q-learning-for-cruise-and-power-allocation-control-parameters-of-connected-fuel-cell-h.
BibTeX @misc{4ortxyz_multi-objective-optimization-with-q-learning-for-cruise-and-power-allocation-control-parameters-of-connected-fuel-cell-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles}}, year = {2026}, url = {https://4ort.xyz/entity/multi-objective-optimization-with-q-learning-for-cruise-and-power-allocation-control-parameters-of-connected-fuel-cell-h}, note = {Accessed: 2026-05-24}}
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