50 citations · 94 across the 14 of their papers we have counts for
8 papers · 1 filter
ROIDS: Robust Outlier-Aware Informed Down-Sampling
Alina Geiger, Martin Briesch, Dominik Sobania +1
Informed down-sampling (IDS) is known to improve performance in symbolic regression when combined with various selection strategies, especially tournament selection. However, recen…
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
Alina Geiger, Martin Briesch, Dominik Sobania +1
The success of lexicase selection has led to various extensions, including its combination with down-sampling, which further increased performance. However, recent work found that…
Transformer Semantic Genetic Programming for Symbolic Regression
Philipp Anthes, Dominik Sobania, Franz Rothlauf
In standard genetic programming (stdGP), solutions are varied by modifying their syntax, with uncertain effects on their semantics. Geometric-semantic genetic programming (GSGP), a…
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression
Alina Geiger, Dominik Sobania, Franz Rothlauf
In recent years, several new lexicase-based selection variants have emerged due to the success of standard lexicase selection in various application domains. For symbolic regressio…
Untangling the Effects of Down-Sampling and Selection in Genetic Programming
Ryan Boldi, Ashley Bao, Martin Briesch +4
Genetic programming systems often use large training sets to evaluate the quality of candidate solutions for selection, which is often computationally expensive. Down-sampling trai…
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems
Alina Geiger, Dominik Sobania, Franz Rothlauf
Epsilon-lexicase selection is a parent selection method in genetic programming that has been successfully applied to symbolic regression problems. Recently, the combination of rand…