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 ...

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 ...

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 ...

Franz Inc., an early innovator in Artificial Intelligence (AI) and supplier of Common Lisp (CL) development tools and knowledge graph solutions, is introducing Allegro CL v11, including key ...

Abstract: Genetic programming (GP) has been applied to symbolic regression problem for a long time. The symbolic regression is to discover a function that can fit a finite set of sample data. These ...

(1) A programming language that uses symbols, or mnemonics, for expressing operations and operands. All modern programming languages are symbolic languages. (2) A language that manipulates symbols ...