论文标题
在进化黑框上下文中代理模型的景观分析
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context
论文作者
论文摘要
替代建模已成为黑盒优化任务的宝贵技术，并对目标功能进行昂贵的评估。在本文中，我们研究了替代模型的预测准确性与黑盒功能景观的特征之间的关系。我们还研究了在不同的转换和选择输入数据的方式的情况下，用于景观分析的特征。我们对使用替代辅助版本的协方差矩阵适应演化策略的运行进行了大量数据进行景观分析，这是在比较连续优化器基准函数测试的无噪声部分。
Surrogate modeling has become a valuable technique for black-box optimization tasks with expensive evaluation of the objective function. In this paper, we investigate the relationship between the predictive accuracy of surrogate models and features of the black-box function landscape. We also study properties of features for landscape analysis in the context of different transformations and ways of selecting the input data. We perform the landscape analysis of a large set of data generated using runs of a surrogate-assisted version of the Covariance Matrix Adaptation Evolution Strategy on the noiseless part of the Comparing Continuous Optimisers benchmark function testbed.
