Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which aims ...

Parametric Symbolic Regression (PSR) is a Python package that evolves symbolic expressions whose parameters can be optimized (e.g. with curve_fit or minimize). It combines genetic-programming style ...

Symbolic regression is a technique that can automatically derive analytic models from data. Traditionally, symbolic regression has been implemented primarily through genetic programming that evolves ...

Abstract: Symbolic regression has become a hot topic in recent years due to the surging demand for interpretable machine learning methods. Traditionally, symbolic regression problems are mainly solved ...

Abstract: Genetic programming has been positioned as a fit-for-purpose approach for symbolic regression. Researchers tend to select algorithms that produce a model with low complexity and high ...