Multi-AGV Scheduling and Path Planning Based on an Improved Ant Colony Algorithm
In current intelligent manufacturing workshops, multi-automated guided vehicle (AGV) systems often face issues such as uneven task allocation, path conflicts, and idle travel, which significantly affect scheduling efficiency. To address these problems, this paper proposes an improved ant colony algo...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-09-01
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| Series: | Vehicles |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2624-8921/7/3/102 |
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