Solving pickup and drop-off problem using hybrid pointer networks with deep reinforcement learning

In this study, we propose a general method for tackling the Pickup and Drop-off Problem (PDP) using Hybrid Pointer Networks (HPNs) and Deep Reinforcement Learning (DRL). Our aim is to reduce the overall tour length traveled by an agent while remaining within the truck’s capacity restrictions and adh...

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Detalles Bibliográficos
Autores principales: Alharbi, Majed G., Stohy, Ahmed, Elhenawy, Mohammed, Masoud, Mahmoud, Khalifa, Hamiden Abd El-Wahed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135236/
https://www.ncbi.nlm.nih.gov/pubmed/35617306
http://dx.doi.org/10.1371/journal.pone.0267199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135236/
https://www.ncbi.nlm.nih.gov/pubmed/35617306
http://dx.doi.org/10.1371/journal.pone.0267199

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