DTLZ 1-4, 7 and WFG 1-9
收藏arXiv2025-09-30 收录
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https://github.com/AlmaRahat/EHVI_Gauss-Hermite
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资源简介：
该数据集包含了用于验证具有不同特征的帕累托前沿近似方法有效性的常用测试问题（包括DTLZ 1-4、7以及WFG 1-9）。此外，该数据集用于比较高斯-埃尔米特（Gauss-Hermite, GH）方法和蒙特卡洛（Monte Carlo, MC）方法在期望超体积改进（Expected Hypervolume Improvement, EHVI）的解析计算准确性方面的差异。该数据集基于100个随机生成的多变量高斯分布进行规模设定，其任务是进行多目标优化以及对期望超体积改进（Ehvi）的近似。
This dataset comprises commonly used test problems for validating the effectiveness of Pareto front approximation methods with diverse characteristics, including DTLZ 1-4, 7 and WFG 1-9. Additionally, this dataset is employed to compare the accuracy differences in analytical calculation of Expected Hypervolume Improvement (EHVI) between the Gauss-Hermite (GH) method and the Monte Carlo (MC) method. This dataset is sized based on 100 randomly generated multivariate Gaussian distributions, and its core tasks involve multi-objective optimization as well as the approximation of Expected Hypervolume Improvement (EHVI).
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