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Authors: Rik Timmer 1 ; Jesse Kommandeur 2 ; Jonathan Koutstaal 2 ; Eric Fraga 3 and Daan van den Berg 1 ; 2

Affiliations: 1 Department of Computer Science, VU Amsterdam, The Netherlands ; 2 Master Information Studies, UvA Amsterdam, The Netherlands ; 3 Department of Chemical Engineering, University College London (UCL), U.K.

Keyword(s): Genetic Programming, Matrix Multiplication, Complexity, Strassen’s Algorithm.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - ECTA; ISBN 978-989-758-721-4; ISSN 2184-3236, SciTePress, pages 269-278. DOI: 10.5220/0012990600003837

@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 - ECTA},
year={2024},
pages={269-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012990600003837},
isbn={978-989-758-721-4},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computational Intelligence - ECTA
TI - Genetic Programming for 5×5 Matrix Multiplication
SN - 978-989-758-721-4
IS - 2184-3236
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

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