When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems - Data and Code

<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>- experiments: Python files which were used to create the discretized functions and collect the data (the experiment_runner files) and the code for each of the tested algorithms (two subfolders)</p> <p>- Process_discr: 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 &#39;csv_fb_*.zip&#39;. ecdf_creation_script is used to extract ecdf and ert data for the ECDF_plot notebook. This data is added as &#39;other_csvs.zip&#39;</p> <p>- Plot*: notebooks which are used to generate the figures from the papers</p>