Using Affine Combinations of BBOB Problems for Performance Assessment - Code and Data

<p>This repository contains the code and data for reproducibility of the paper &#39;Modular Differential Evolution&#39;.&nbsp;</p> <p>The following files are included:</p> <p>- collect_data: Python files was used to access the affine function combinations and run the nevergrad algorithms.&nbsp;Resulting IOH-files are included in the &#39;raw_data&#39; zipfile</p> <p>- Process_IOH_affine: code which takes the raw IOH data and turns it into the relevant csv-files which are used to create the figures. CSV files are included in &#39;combined_csvs.zip&#39; (appended per setting to save space)&nbsp;and &#39;ERT_csv.zip&#39;</p> <p>-iohana figure: code to make the per-alpha ERT figure using IOHanalyzer</p> <p>- Visualization*: notebooks which are used to generate the figures from the papers</p>