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Collaborative Optimization of Truck Scheduling in Container Terminals Using Graph Theory and DDQN by hieu.truong2301 is a document available to read on EtoBox.

This study presents a novel approach to optimizing truck scheduling in container terminals using graph theory and Deep Double Q-Networks (DDQN). The proposed algorithm aims to minimize equipment completion times and quay crane waiting times, significantly improving truck utilization and overall terminal efficiency. Experimental results demonstrate that this method consistently outperforms traditional heuristic and DQN algorithms in scheduling effectiveness.

Author

hieu.truong2301

Language

EN