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

Zenodo (CERN European Organization for Nuclear Research)

Abstract

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

Authors 3

1. Diederick Vermetten Aachen Leiden Institute for Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute for Advanced Computer Science

2. Furong Ye Aachen Leiden Institute for Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute for Advanced Computer Science

3. Carola Doerr

   Centre National de la Recherche Scientifique · Sorbonne Université

   Affiliation as printed

   Sorbonne Université, CNRS