Test Functions for Optimization

该数据集包含了134个基准函数，这些函数被用来评估优化算法的性能，来源于专业报告。此外，这些函数具有不同的特性，如可微性、可分性、可扩展性和多峰性等。其中一些函数识别出的问题被进一步归类分析。在144个样本公式中，有134个测试函数，该数据集的任务是全局优化。This dataset contains 134 benchmark functions sourced from professional reports, which are used to evaluate the performance of optimization algorithms. Additionally, these functions exhibit diverse characteristics such as differentiability, separability, scalability, multimodality and other properties. Some of the optimization problems modeled by these functions are further classified and analyzed. Among the 144 sample mathematical formulations, 134 act as test functions, and the core task of this dataset is global optimization.