Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming

1 code implementation • 18 Apr 2018 • Joao Francisco B. S. Martins, Luiz Otavio V. B. Oliveira, Luis F. Miranda, Felipe Casadei, Gisele L. Pappa

Advances in Geometric Semantic Genetic Programming (GSGP) have shown that this variant of Genetic Programming (GP) reaches better results than its predecessor for supervised machine learning problems, particularly in the task of symbolic regression.

regression Symbolic Regression

How Noisy Data Affects Geometric Semantic Genetic Programming

no code implementations • 4 Jul 2017 • Luis F. Miranda, Luiz Otavio V. B. Oliveira, Joao Francisco B. S. Martins, Gisele L. Pappa

The results show that, as we increase the percentage of noisy instances, the generalization performance degradation is more pronounced in GSGP than GP.