On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network

On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network

The work in this thesis is separated into two parts. The first part deals with the load planning and sequencing problem for double-stack intermodal railcars, an operational problem found at many rail container terminals. In this problem, containers must be assigned to a platform on which the contain...

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Bibliographic Details
Main Author: Goyette, Kyle
Other Authors: Frejinger, Emma
Language:English
Published: 2021
Subjects:
Intermodal rail terminal
containers
rail
train
double-stack
dynamic programming
load planning and sequencing
deep reinforcement learning
sequential modelling
recurrent neural networks
exploding and vanishing gradient problem
Transport ferroviaire intermodal,
conteneurs
planification et séquencement des chargements
programmation dynamique
apprentissage par renforcement profond
modélisation séquentielle
réseaux de neurones récurrents
Applied Sciences - Operations Research / Sciences appliqués et technologie - Recherche opérationnelle (UMI : 0796)
Online Access:http://hdl.handle.net/1866/24314

Internet

http://hdl.handle.net/1866/24314

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