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cs.LG2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
Yousef A. Radwan, Gabriel Kronberger, Stephan Winkler
Symbolic regression is a machine learning method with the goal to produce interpretable results. Unlike other machine learning methods such as, e.g. random forests or neural networ…
cs.NE2024★ 8 cited
The Inefficiency of Genetic Programming for Symbolic Regression
Gabriel Kronberger, Fabricio Olivetti de Franca, Harry Desmond +2
We analyse the search behaviour of genetic programming for symbolic regression in practically relevant but limited settings, allowing exhaustive enumeration of all solutions. This…