Computational Logistics for Container Terminal Handling Systems with Deep Learning

Container terminals are playing an increasingly important role in the global logistics network; however, the programming, planning, scheduling, and decision of the container terminal handling system (CTHS) all are provided with a high degree of nonlinearity, coupling, and complexity. Given that, a c...

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Detalles Bibliográficos
Autores principales: Li, Bin, He, Yuqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093079/
https://www.ncbi.nlm.nih.gov/pubmed/33986792
http://dx.doi.org/10.1155/2021/5529914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093079/
https://www.ncbi.nlm.nih.gov/pubmed/33986792
http://dx.doi.org/10.1155/2021/5529914

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