Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
提出了Python包pflacco，提供数值特征来描述单目标连续和约束优化问题，帮助理解问题实例并支持自动化算法选择与配置。
The herein proposed Python package pflacco provides a set of numerical features to characterize single-objective continuous and constrained optimization problems. Thereby, pflacco addresses two major challenges in the area of optimization. Firstly, it provides the means to develop an understanding of a given problem instance, which is crucial for designing, selecting, or configuring optimization algorithms in general. Secondly, these numerical features can be utilized in the research streams of automated algorithm selection and configuration. While the majority of these landscape features are already available in the R package flacco, our Python implementation offers these tools to an even wider audience and thereby promotes research interests and novel avenues in the area of optimization.