Genetic programming benchmarks

ACM SIGEVOlution, vol. 15, pp. 1–19

Abstract

The top image shows a set of scales, which are intended to bring to mind the ideas of balance and fair experimentation which are the focus of our article on genetic programming benchmarks in this issue. Image by Elena Mozhvilo and made available under the Unsplash license on https://unsplash.com/photos/j06gLuKK0GM.

Authors 7

1. James McDermott

   Ollscoil na Gaillimhe – University of Galway

   Affiliation as printed

   University of Galway, Ireland

2. Gabriel Kronberger

   University of Applied Sciences Upper Austria

   Affiliation as printed

   University of Applied Sciences Upper Austria

3. Patryk Orzechowski

   AGH University of Krakow · University of Pennsylvania

   Affiliation as printed

   University of Pennsylvania and AGH University of Science and Technology, Krakow, Poland

4. Leonardo Vanneschi

   Universidade Nova de Lisboa

   Affiliation as printed

   Universidade Nova de Lisboa, Lisboa; Portugal

   Portugal

5. Luca Manzoni

   University of Trieste

   Affiliation as printed

   University of Trieste, Trieste, Italy

6. Roman Kalkreuth Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Netherlands

7. Mauro Castelli

   Universidade Nova de Lisboa

   Affiliation as printed

   Universidade Nova de Lisboa, Lisboa; Portugal

   Portugal