An Enhanced Discrete Hummingbird Algorithm With Reinforcement Learning for Efficient Hybrid Flow Shop Scheduling

ABSTRACT To overcome the limitations of the artificial hummingbird algorithm (AHA), such as slow convergence and its inability to address discrete optimization problems, this paper proposes an improved Q‐learning‐based discrete artificial hummingbird algorithm (QIDAHA). The original foraging strateg...

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Vydané v:	Concurrency and computation Ročník 37; číslo 27-28
Hlavní autori:	Zhou, Ning, Zhou, Zhiwei, Yao, Jing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 25.12.2025
Predmet:	artificial hummingbird algorithm convergence factor elite neighborhood strategy hybrid flow shop scheduling reinforcement learning
ISSN:	1532-0626, 1532-0634
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