Randomly Generated Delivery Instances

该数据集是根据法国真实配送数据生成的随机实例，旨在评估不同方法在车辆路径问题（Vehicle Routing Problem, VRP）情境下的性能。此外，该数据集包含了用于比较经典运筹学方法与机器学习方法在解决带排放配额的车辆路径问题（Vehicle Routing Problem With Emission Quota, QVRP）的实例。具体规模为100个独特的目的地，其中20个目的地的包裹数量各不相同。所涉及的任务是带排放配额的车辆路径问题（QVRP）。

This dataset consists of random instances generated based on real French distribution data, aiming to evaluate the performance of various methods in the context of the Vehicle Routing Problem (VRP). Additionally, this dataset includes instances designed to compare classical operations research methods and machine learning methods for solving the Vehicle Routing Problem With Emission Quota (QVRP). Specifically, it contains 100 unique destinations, among which 20 destinations have varying numbers of parcels. The task involved is the Vehicle Routing Problem With Emission Quota (QVRP).