Hybrid pointer networks for traveling salesman problems optimization

In this work, we proposed a hybrid pointer network (HPN), an end-to-end deep reinforcement learning architecture is provided to tackle the travelling salesman problem (TSP). HPN builds upon graph pointer networks, an extension of pointer networks with an additional graph embedding layer. HPN combine...

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Detalles Bibliográficos
Autores principales: Stohy, Ahmed, Abdelhakam, Heba-Tullah, Ali, Sayed, Elhenawy, Mohammed, Hassan, Abdallah A., Masoud, Mahmoud, Glaser, Sebastien, Rakotonirainy, Andry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670669/
https://www.ncbi.nlm.nih.gov/pubmed/34905571
http://dx.doi.org/10.1371/journal.pone.0260995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670669/
https://www.ncbi.nlm.nih.gov/pubmed/34905571
http://dx.doi.org/10.1371/journal.pone.0260995

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