Efficient routing for multiple AGVs in container terminals using hybrid deep learning and metaheuristic algorithm
This study aims to present the efficient routing of multiple agent systems by optimizing the automated guided vehicle (AGV) movement, waiting time, or container-lifting actions, providing optimal routing solutions in automated container terminals (ACTs). Through integrated scheduling, the AGV agent...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2025-08-01
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| Edice: | Ain Shams Engineering Journal |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2090447925002096 |
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