Bi-objective QAP instances

该数据集是一个基准测试集，包含了被分类为结构化或非结构化的实例，这些实例涉及25、50或75个位置（及设施），并且它们的目标之间存在不同级别的相关性。数据集包含了与问题集的帕累托集合相关的最佳已知目标。此外，实例是使用不同数量的位置/设施（数量在{25, 50}之间）和不同级别的相关性（相关性在{-0.75, 0, 0.75}之间）生成的。该数据集的任务是解决双目标二次分配问题。

This dataset is a benchmark test set comprising instances categorized as either structured or unstructured. These instances involve 25, 50, or 75 locations (and facilities), with varying levels of correlation between their corresponding objectives. The dataset contains the best-known objective values associated with the Pareto frontier of the problem suite. Furthermore, the instances were generated using different numbers of locations/facilities (ranging within {25, 50}) and distinct levels of correlation with values in {-0.75, 0, 0.75}. The core task of this dataset is to solve the bi-objective quadratic assignment problem.