Synthetic Function and Realistic Problems

该数据集包含了用于评估所提出WDRBO算法性能的合成函数和现实问题，并与其他算法进行了比较。此外，该数据集还广泛用于将所提出的WDRBO算法与文献中其他现有方法进行对比。该数据集的任务是在情境分布不确定性下的序列数据驱动决策制定。

This dataset comprises synthetic functions and real-world problems that are employed to assess the performance of the proposed WDRBO algorithm, and supports comparative analyses against other algorithms. Additionally, this dataset is widely adopted for comparing the proposed WDRBO algorithm with other existing methods documented in the academic literature. The core task of this dataset is sequential data-driven decision-making under contextual distribution uncertainty.