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Genetic Algorithms for Discovery of Matrix Multiplication Methods

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3 Author(s)
Joo, A. ; Aston Univ., Birmingham, UK ; Ekart, A. ; Neirotti, J.P.

We present a parallel genetic algorithm for finding matrix multiplication algorithms. For 3 3 matrices our genetic algorithm successfully discovered algorithms requiring 23 multiplications, which are equivalent to the currently best known human-developed algorithms. We also studied cases with fewer multiplications and found an approximate solution for 22 multiplications.

Published in:

Evolutionary Computation, IEEE Transactions on  (Volume:16 ,  Issue: 5 )