Multiple Yard Crane Scheduling Optimization in Container Blocks

Optimizing Yard Crane Scheduling in Multiple Container Blocks with AI. This research focuses on optimizing yard crane scheduling in multiple container blocks using intelligent algorithms. This approach aims to enhance efficiency and minimize congestion within container terminals. The study delves into the application of AI techniques to achieve a more optimized allocation and movement of yard cranes, leading to improved container handling operations.