Raw data of the EXPensive Optimization benchmark library (EXPObench)

These are the raw data of the results of several surrogate-based optimization algorithms, applied to four different real-life expensive optimization problems. Included are the computation time used by the algorithm, time spent on evaluating the expensive objective function, and the values of the decision variables and the objective at every iteration and at the optimum.
A file to plot the results is also included, and the plots itself as well.

本数据集包含多款基于代理模型的优化算法（surrogate-based optimization algorithms）应用于四类真实昂贵优化问题所得结果的原始数据。数据涵盖算法的总计算耗时、昂贵目标函数的评估时长，以及每一轮迭代与最优解处的决策变量值与目标函数值。此外还附带了用于绘制结果的脚本文件，以及对应的可视化图表本身。