Using Affine Combinations of BBOB Problems for Performance Assessment - Code and Data
DOI10.5281/zenodo.7629706Zenodo7629706MaRDI QIDQ6690571
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 10 February 2023
Copyright license: No records found.
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
This page was built for dataset: Using Affine Combinations of BBOB Problems for Performance Assessment - Code and Data