Publication Details

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming

KALKREUTH Roman, DE França Fabricio Olivetti, JANKOVIC Anja, ANASTACIO Marie, DIERKES Julian, VAŠÍČEK Zdeněk and HOOS Holger. TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Malaga: Association for Computing Machinery, 2025, pp. 2172-2176. ISBN 979-8-4007-1464-1.
Czech title
TinyverseGP: Modulární rámec pro srovnávání výkonnosti genetické programování v různých oblastech
Type
conference paper
Language
english
Authors
Kalkreuth Roman, MSc. (TUDO)
De França Fabricio Olivetti (UFABC)
Jankovic Anja (RWTH Aachen University)
Anastacio Marie (RWTH Aachen University)
Dierkes Julian (RWTH Aachen University)
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT)
Hoos Holger (Leiden University)
Keywords

Genetic Programming, Implementation, Benchmarking, Symbolic Regression, Logic Synthesis, Python

Abstract

Over the years, genetic programming (GP) has evolved, with many proposed variations, especially in how they represent a solution. Being essentially a program synthesis algorithm, it is capable of tackling multiple problem domains. Current benchmarking initiatives are fragmented, as the different representations are not compared with each other and their performance is not measured across the different domains. In this work, we propose a unified framework, dubbed TinyverseGP (inspired by tinyGP), which provides support to multiple representations and problem domains, including symbolic regression, logic synthesis and policy search.

Published
2025
Pages
2172-2176
Proceedings
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Conference
Genetic and Evolutionary Computation Conference 2025 (Companion), Málaga, ES
ISBN
979-8-4007-1464-1
Publisher
Association for Computing Machinery
Place
Malaga, ES
DOI
10.1145/3712255.3726697
BibTeX 
@INPROCEEDINGS{FITPUB13477,
   author = "Roman Kalkreuth and Olivetti Fabricio Fran\c{c}a De and Anja Jankovic and Marie Anastacio and Julian Dierkes and Zden\v{e}k Va\v{s}\'{i}\v{c}ek and Holger Hoos",
   title = "TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming",
   pages = "2172--2176",
   booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
   year = 2025,
   location = "Malaga, ES",
   publisher = "Association for Computing Machinery",
   ISBN = "979-8-4007-1464-1",
   doi = "10.1145/3712255.3726697",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13477"
}
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