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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0197539" target="_blank" >RIV/00216305:26230/26:0197539 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3712255.3726697" target="_blank" >http://dx.doi.org/10.1145/3712255.3726697</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3712255.3726697" target="_blank" >10.1145/3712255.3726697</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA25-15490S" target="_blank" >GA25-15490S: LEDNeCo: Low Energy Deep Neurocomputing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů