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Genetic Programming for the Nuclear Many-Body Problem: a Guide
Illya Bakurov, Pablo Giuliani, Kyle Godbey +3
Genetic Programming is an evolutionary algorithm that generates computer programs, or mathematical expressions, to solve complex problems. In this Guide, we demonstrate how to use…
cs.NE2024
Sharpness-Aware Minimization in Genetic Programming
Illya Bakurov, Nathan Haut, Wolfgang Banzhaf
Sharpness-Aware Minimization (SAM) was recently introduced as a regularization procedure for training deep neural networks. It simultaneously minimizes the fitness (or loss) functi…
cs.NE2024
On The Nature Of The Phenotype In Tree Genetic Programming
Wolfgang Banzhaf, Illya Bakurov
In this contribution, we discuss the basic concepts of genotypes and phenotypes in tree-based GP (TGP), and then analyze their behavior using five benchmark datasets. We show that…