A Functional Analysis Approach to Symbolic Regression

K Antonov, R Kalkreuth, K Yang, T Bäck… - Proceedings of the …, 2024 - dl.acm.org
Symbolic regression (SR) poses a significant challenge for randomized search heuristics
due to its reliance on the synthesis of expressions for input-output mappings. Although …

A Comparison of Large Language Models and Genetic Programming for Program Synthesis

D Sobania, J Petke, M Briesch… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large language models have recently become known for their ability to generate computer
programs, especially through tools such as GitHub Copilot, a domain where genetic …

Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search

D Wittenberg, F Rothlauf, C Gagné - Genetic Programming and Evolvable …, 2023 - Springer
Denoising autoencoder genetic programming (DAE-GP) is a novel neural network-based
estimation of distribution genetic programming approach that uses denoising autoencoder …