2D Benchmark Functions
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/Amir-M-Vahedi/SPGD-Benchmark-Functions
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资源简介：
该数据集包含了四个在优化领域公认为具有挑战性的二维基准函数，这些函数被用来评估优化算法的有效性。此外，该数据集还用于比较SPGD算法与传统优化方法（如梯度下降、扰动梯度下降等）的性能表现，以进行优化算法评估任务。
This dataset contains four 2D benchmark functions widely recognized as challenging in the field of optimization, which are used to evaluate the effectiveness of optimization algorithms. Additionally, this dataset is also employed to compare the performance of the SPGD algorithm against traditional optimization methods such as gradient descent, perturbed gradient descent, etc., for optimization algorithm evaluation tasks.
提供机构：
Optimization Community
