Intelligent Scheduling Method for Bulk Cargo Terminal Loading Process Based on Deep Reinforcement Learning

Intelligent Scheduling Method for Bulk Cargo Terminal Loading Process Based on Deep Reinforcement Learning

Sea freight is one of the most important ways for the transportation and distribution of coal and other bulk cargo. This paper proposes a method for optimizing the scheduling efficiency of the bulk cargo loading process based on deep reinforcement learning. The process includes a large number of sta...

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Bibliographic Details
Main Authors: Changan Li, Sirui Wu, Zhan Li, Yuxiao Zhang, Lijie Zhang, Luis Gomes
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Electronics
Subjects:
bulk cargo loading
MDP model
deep reinforcement learning
intelligent scheduling
Online Access:https://www.mdpi.com/2079-9292/11/9/1390

Internet

https://www.mdpi.com/2079-9292/11/9/1390

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