Abstract: genetic programming (GP) is a widely recognized and powerful approach for symbolic regression (SR) problems. However, existing GP methods rely on a single form to solve the problem, which ...
FunctionEvolve is a neuro-symbolic evolutionary framework for scientific equation discovery. It combines LLM reasoning with an explicit abstract-syntax-tree (AST) search: domain-informed seeds and ...
Abstract: Physics-informed symbolic regression aims to recover explicit closed-form solutions of differential equations while preserving physical consistency. However, existing methods often suffer ...
MCTS-4-SR is a C++20 implementation of Monte Carlo Tree Search for symbolic regression, with Python bindings exposed through pybind11. The repository includes the C++ search core, the imcts Python ...
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