Detail publikačního výsledku

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

KALKREUTH, R.; DE, O.; JANKOVIC, A.; ANASTACIO, M.; DIERKES, J.; VAŠÍČEK, Z.; HOOS, H.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

KALKREUTH, R.; DE, O.; JANKOVIC, A.; ANASTACIO, M.; DIERKES, J.; VAŠÍČEK, Z.; HOOS, H.

Vydáno

14.07.2025

Nakladatel

Association for Computing Machinery

Místo

Malaga

ISBN

979-8-4007-1464-1

Kniha

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Strany od

2172

Strany do

2176

Strany počet

5

BibTex

@inproceedings{BUT197539,
  author="KALKREUTH, R. and DE, O. and JANKOVIC, A. and ANASTACIO, M. and DIERKES, J. and VAŠÍČEK, Z. and HOOS, H.",
  title="TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming",
  booktitle="Proceedings of the Genetic and Evolutionary Computation Conference Companion",
  year="2025",
  pages="2172--2176",
  publisher="Association for Computing Machinery",
  address="Malaga",
  doi="10.1145/3712255.3726697",
  isbn="979-8-4007-1464-1"
}