Genetic Programming for 5×5 Matrix Multiplication

Rik Timmer, Jesse Kommandeur, Jonathan Koutstaal, Eric Fraga, Daan van den Berg, Daan van den Berg

2024

Abstract

Using genetic programming, we fail in evolving an algorithm that correctly multiplies two 5×5 matrices. We do make progress on the issue however, identifying an experimental setting that could potentially lead to such algorithm which until now, has not been successfully done. We discuss earlier work, experimental results and possible ways forward.

Paper Citation

in Harvard Style

Timmer R., Kommandeur J., Koutstaal J., Fraga E. and van den Berg D. (2024). Genetic Programming for 5×5 Matrix Multiplication. In Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA; ISBN 978-989-758-721-4, SciTePress, pages 269-278. DOI: 10.5220/0012990600003837

in Bibtex Style

@conference{ecta24,
author={Rik Timmer and Jesse Kommandeur and Jonathan Koutstaal and Eric Fraga and Daan van den Berg},
title={Genetic Programming for 5×5 Matrix Multiplication},
booktitle={Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA},
year={2024},
pages={269-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012990600003837},
isbn={978-989-758-721-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA
TI - Genetic Programming for 5×5 Matrix Multiplication
SN - 978-989-758-721-4
AU - Timmer R.
AU - Kommandeur J.
AU - Koutstaal J.
AU - Fraga E.
AU - van den Berg D.
PY - 2024
SP - 269
EP - 278
DO - 10.5220/0012990600003837
PB - SciTePress