Notes
| Dataset A This dataset was derived from the Solomon dataset, by relaxing the time windows constraints: instances have up to 15 customers (the last part of the name indicates the size of each instance) and 5 stations, with a single technology. Some of these instances are very small and not challenging; they serve mainly to make a comparison between the results of similar problems. Instances in dataset A are splitted in three classes: C (clustered), R (random) and RC (random-clustered), according to distances between customers. This dataset contains 12 instances for each class.
Dataset B Instances in this dataset have 10 customers, up to 5 vehicles, up to 9 stations and 3 technologies. This dataset contains 20 instances.
Dataset C This dataset was adapted from the Solomon dataset: all instances have 30 customers, 7 vehicles, 5 stations and 3 technologies. In this dataset customer locations are clustered. This dataset contains 10 instances. |