Optimization of automated guided vehicle scheduling model based on hybrid genetic algorithm and digital twin

The scheduling of automated guided vehicles faces issues due to unpredictable data. To overcome this, research focuses on optimizing path planning and scheduling using hybrid genetic algorithms and digital twins. Firstly, a genetic algorithm improves the bat algorithm to avoid premature convergence...

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Bibliografische Detailangaben

Hauptverfasser:	Li Liu, Yu Ding
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-12-01
Schriftenreihe:	Systems and Soft Computing
Schlagworte:	Genetic algorithm Digital twin Automated guided vehicle Scheduling optimization
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S277294192500198X
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