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

This repository contains the code and data for reproducibility of the paper 'Modular Differential Evolution'. 

The following files are included:

- collect_data: Python files was used to access the affine function combinations and run the nevergrad algorithms. Resulting IOH-files are included in the 'raw_data' zipfile

- 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 'combined_csvs.zip' (appended per setting to save space) and 'ERT_csv.zip'

-iohana figure: code to make the per-alpha ERT figure using IOHanalyzer

- Visualization*: notebooks which are used to generate the figures from the papers