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.<br>A file to plot the results is also included, and the plots itself as well.<br>

本数据集收录了多款基于代理模型的优化算法（surrogate-based optimization algorithms）针对四类真实场景下的高代价优化问题所生成的结果原始数据。所包含的数据项涵盖算法运行总计算耗时、昂贵目标函数的评估耗时，以及每一轮迭代与最优解处的决策变量取值与目标函数值。随数据集一同提供的还有用于绘制结果的脚本文件，以及对应的绘图结果本身。