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基于深度强化学习的多智能体仿真优化方法用于自动化集装箱码头IGV双向任务分配与充电联合调度

A deep reinforcement learning based multi-agent simulation optimization approach for IGV bidirectional task allocation and charging joint scheduling in automated container terminals

Computers and Operations Research · 2025
被引 4
ABS 3
自动化集装箱码头深度强化学习多智能体仿真优化任务分配与调度物流工程