Multi-objective optimization of dispatching strategies for situation-adaptive AGV operation in an automated container terminal
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ACM Press
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Real-time AGV scheduling optimisation method with deep reinforcement learning for energy-efficiency in the container terminal yard;International Journal of Production Research;2024-03-21
2. Behavior Control of Cooperative Vehicle Infrastructure System in Container Terminals Based on Q-learning;Communications in Computer and Information Science;2022
3. Scheduling of AGVs in Automated Container Terminal Based on the Deep Deterministic Policy Gradient (DDPG) Using the Convolutional Neural Network (CNN);Journal of Marine Science and Engineering;2021-12-16
4. Research on Coupled Task Allocation and Scheduling of Multi-type Robots;2021 IEEE International Conference on Networking, Sensing and Control (ICNSC);2021-12-03
5. Vehicle Scheduling Problem in Terminals: A Review;Lecture Notes in Computer Science;2020
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