A method integrating simulation and reinforcement learning for operation scheduling in container terminals

A method integrating simulation and reinforcement learning for operation scheduling in container terminals

The objective of operation scheduling in container terminals is to determine a schedule that minimizes time for loading or unloading a given set of containers. This paper presents a method integrating reinforcement learning and simulation to optimize operation scheduling in container terminals. The...

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Bibliographic Details
Main Authors: Qingcheng Zeng, Zhongzhen Yang, Xiangpei Hu
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2012-01-01
Series:Transport
Subjects:
container terminals
scheduling
simulation
reinforcement learning
Online Access:https://www.tede.vgtu.lt/index.php/Transport/article/view/5660

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