This repository contains all data and results for the paper

Nguyen Dang, Carola Doerr (2019) Hyper-Parameter Tuning for the (1 + (λ, λ)) GA, accepted at GECCO 2019

(arxiv version)

Structure:

• source-code: source code of the (1 + (λ, λ)) GA algorithm used in the paper. This code is based upon previous work of Eduardo Carvalho Pinto.

• irace-and-fanova-results: results obtained from

  • tuning experiments using the irace software
  • post analysis on the performance data returned by irace, using the functional ANOVA (Hutter, Hoos and Leyton-Brown, 2014) provided in the PyImp package .

• test-performance: performance of all configurations shown in the paper over 500 runs on each problem dimension. (The only exception is RLS, for which the results for n=20,000 and n=30,000 are based on 100 runs only.)

• heatpmaps: heatmaps and the corresponding relevant performance data

• IOHProfiler-analyses: data for IOHProfiler analyses. These files can be analyzed with the IOHProfiler post-processing tool