Genetic Programming for 5×5 Matrix Multiplication

Rik Timmer, Jesse Kommandeur, Jonathan Koutstaal, Eric S. Fraga, Daan van Den Berg

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationIJCCI 2024 - Proceedings of the 16th International Joint Conference on Computational Intelligence - ECTA, Porto, Portugal, November 20-22, 2024
Subtitle of host publicationVolume 1
EditorsFrancesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Joaquim
PublisherScience and Technology Publications, Lda
Pages269-278
Number of pages10
Volume1
ISBN (Print)9789897587214
DOIs
Publication statusPublished - 2024
Event16th International Joint Conference on Computational Intelligence, IJCCI 2024 - Porto, Portugal
Duration: 20 Nov 202422 Nov 2024

Conference

Conference16th International Joint Conference on Computational Intelligence, IJCCI 2024
Country/TerritoryPortugal
CityPorto
Period20/11/2422/11/24

Bibliographical note

Publisher Copyright:
© 2024 by SCITEPRESS – Science and Technology Publications, Lda.

Keywords

  • Complexity
  • Genetic Programming
  • Matrix Multiplication
  • Strassen’s Algorithm

Fingerprint

Dive into the research topics of 'Genetic Programming for 5×5 Matrix Multiplication'. Together they form a unique fingerprint.

Cite this