Multi-AGV Dynamic Scheduling in an Automated Container Terminal: A Deep Reinforcement Learning Approach

Multi-AGV Dynamic Scheduling in an Automated Container Terminal: A Deep Reinforcement Learning Approach

With the rapid development of global trade, ports and terminals are playing an increasingly important role, and automatic guided vehicles (AGVs) have been used as the main carriers performing the loading/unloading operations in automated container terminals. In this paper, we investigate a multi-AGV...

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Bibliographic Details
Main Authors: Xiyan Zheng, Chengji Liang, Yu Wang, Jian Shi, Gino Lim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
Multi-AGV scheduling
automated container terminal
mixed decision rules
deep reinforcement learning
simulation-based algorithm analysis
Online Access:https://www.mdpi.com/2227-7390/10/23/4575

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