arXiv cs.NE
· Papers
Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression
arXiv:2606.31990v1 Announce Type: new Abstract: We analyze the effect of optimizing the initial population of genetic programming (GP) for symbolic regression (SR) on the accuracy and complexity of solutions. We compare three well-established random initialization methods as well as initialization with small optimized