arxiv
PublishedJuly 1, 2026 at 4:00 AM
—neutral
Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression
Publisher summary· verbatim
arXiv:2606.31990v1 Announce Type: cross 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
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivDiffusion-warm sampling of the XY model enables fast thermalization at scale13harxivSwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation13harxivBLUEX v2: Benchmarking LLMs on Open-Ended Questions from Brazilian University Entrance Exams13harxivCORTEX: Token-Level Hallucination Detection in RAG via Comparative Internal Representations13hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗