BTS

该数据集包含了一系列可以通过特定打破平局策略进行贪心最佳优先搜索扩展的状态集合，它用于评估并行搜索算法的限制条件。此外，该数据集还为理解在采用分离生成与评估（SGE）方法时，受约束的并行搜索算法（如PUHF算法）的搜索行为提供了基础。该数据集的任务是评估搜索算法的性能。

This dataset comprises a collection of state sets that can be expanded via greedy best-first search with specific tie-breaking strategies. It is used to evaluate the constraints of parallel search algorithms. Furthermore, this dataset also provides a foundation for understanding the search behavior of constrained parallel search algorithms (e.g., the PUHF algorithm) when adopting the Separation of Generation and Evaluation (SGE) method. The core task of this dataset is to evaluate the performance of search algorithms.