Heinz Pitsch

Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models

2022 · arXiv (Cornell University)

Learning accurate numerical constants when developing algebraic models is a known challenge for evolutionary algorithms, such as Gene Expression Programming (GEP). This paper introduces the concept of adaptive symbols to the GEP framework by Weatheritt …