Optimization of AGV Scheduling in Automated Container Terminal Based on Improved Genetic Algorithm
Author:
Affiliation:
1. School of Engineering, Sanda University, China
2. College of Mechanical and Electrical Engineering, Harbin Engineering University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3652628.3652804
Reference11 articles.
1. Analysis and prospect of automated container terminal technology development
2. Online preference learning for adaptive dispatching of AGVs in an automated container terminal
3. Wei Zhao, Dewen Zhang and Yunfei Zou. 2021. Technological Analysis of Automatic Container Terminal Automated Guided Vehicle and Intelligent Guided Vehicle. Journal of Physics: Conference Series, Volume 2033, 2021, The Third International Conference on Electrical, Communication and Computer Engineering (ICECCE 2021) 12-13 June 2021, Kuala Lumpur, Malaysia.
4. Fu Jianlin, Zhang Hengzhi, Zhang Jian and Jiang Liangkui. 2020. Review on AGV Scheduling Optimization. J. Journal of System Simulation, 2020, 32(9): 1664-1675.
5. Optimization of container handling systems in automated maritime terminals: A hybrid genetic and a tabu search algorithms
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