Multiple Container Terminal Berth Allocation and Joint Operation Based on Dueling Double Deep Q-Network

Multiple Container Terminal Berth Allocation and Joint Operation Based on Dueling Double Deep Q-Network

In response to the evolving challenges of the integration and combination of multiple container terminal operations under berth water depth constraints, the multi-terminal dynamic and continuous berth allocation problem emerges as a critical issue. Based on computational logistics, the MDC-BAP is fo...

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Bibliographic Details
Main Authors: Bin Li, Caijie Yang, Zhongzhen Yang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Journal of Marine Science and Engineering
Subjects:
deep reinforcement learning
computational logistics
complex logistics systems oriented neural–physical fusion computation
multi-terminal dynamic and continuous berth allocation problem
resource-constrained project scheduling problem
Online Access:https://www.mdpi.com/2077-1312/11/12/2240

Internet

https://www.mdpi.com/2077-1312/11/12/2240

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