Artificial intelligence in physical sciences: Symbolic regression trends and perspectives

D Angelis, F Sofos, TE Karakasidis - Archives of Computational Methods …, 2023 - Springer
Symbolic regression (SR) is a machine learning-based regression method based on genetic
programming principles that integrates techniques and processes from heterogeneous …

[HTML][HTML] Shape-constrained multi-objective genetic programming for symbolic regression

C Haider, FO de Franca, B Burlacu, G Kronberger - Applied Soft Computing, 2023 - Elsevier
We describe and analyze algorithms for shape-constrained symbolic regression, which
allow the inclusion of prior knowledge about the shape of the regression function. This is …

Investigating the potential of smart manufacturing technologies

J Zenisek, N Wild, J Wolfartsberger - Procedia computer science, 2021 - Elsevier
Over the past years, the topic of smart manufacturing has been in the focus of researchers
and manufacturing experts. Smart manufacturing describes the technology-driven ability to …