Route Optimization Dataset for Large-Scale AGV Systems with 1000 units in Japanese Logistics Warehouses
收藏DataCite Commons2025-03-14 更新2025-04-16 收录
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https://ieee-dataport.org/documents/route-optimization-dataset-large-scale-agv-systems-1000-units-japanese-logistics
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资源简介：
This study proposes a new approach for optimizing the routing of 1,000 Automated Guided Vehicles (AGVs) in large-scale logistics warehouses using Quantum Annealing (QA). As logistics operations grow, efficient AGV route planning is essential to ensure smooth, safe, and time-efficient transportation, especially in high-density AGV environments. By utilizing quantum mechanics, QA effectively addresses the complex challenges inherent in large-scale AGV management.
提供机构：
IEEE DataPort
创建时间：
2025-03-14
