Real-time twin automated double cantilever rail crane scheduling problem for the U-shaped automated container terminal using deep reinforcement learning
Guolei Tang, Yanxin Guo, Qi Yue, Zhuo Fang, Zhuoyao Zhao, Mengxin Li, Zhonghan Zhen
Topics & Concepts
Reinforcement learningContainer (type theory)Terminal (telecommunication)ReinforcementScheduling (production processes)CantileverEngineeringComputer scienceStructural engineeringArtificial intelligenceComputer networkMechanical engineeringOperations managementMaritime Ports and LogisticsRailway Systems and Energy EfficiencyVehicle Routing Optimization Methods