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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Veröffentlicht in:	Concurrency and computation Jg. 37; H. 27-28
Hauptverfasser:	Zhou, Ning, Zhou, Zhiwei, Yao, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 25.12.2025
Schlagworte:	artificial hummingbird algorithm convergence factor elite neighborhood strategy hybrid flow shop scheduling reinforcement learning
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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