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A review of reinforcement learning based hyper-heuristics

The reinforcement learning based hyper-heuristics (RL-HH) is a popular trend in the field of optimization. RL-HH combines the global search ability of hyper-heuristics (HH) with the learning ability of reinforcement learning (RL). This synergy allows the agent to dynamically adjust its own strategy,...

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Autors principals: Cuixia Li, Xiang Wei, Jing Wang, Shuozhe Wang, Shuyan Zhang
Format: Artigo
Idioma:Inglês
Publicat: PeerJ Inc. 2024-06-01
Col·lecció:PeerJ Computer Science
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Accés en línia:https://peerj.com/articles/cs-2141.pdf
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