Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning
Author:
Affiliation:
1. School of Logistics Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China
2. Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China
Funder
National Natural Science Foundation of China
Shanghai Science and Technology Innovation Action Plan
Shanghai Shuguang Scholar Project, China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1998695
Reference39 articles.
1. Path and Speed Optimization for Conflict-Free Pickup and Delivery Under Time Windows
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