The 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2022) is currently held at the Research Institute for Symbolic Computation in Hagenberg.

6 interesting papers have been presented at the Workshop for Symbolic Regression:

• Fabrício Olivetti De França: Symbolic Regression with augmented dataset using RuleFit

• Fabrício Olivetti De França: Comparison of OLS and NLS to fit Transformation-Interaction-Rational expressions

• David Piringer, Bernhard Bloder and Gabriel Kronberger: Steel Phase Kinetics Modeling using Symbolic Regression

• Martin Steiger, Hans-Georg Brachtendorf and Gabriel Kronberger: Identification of Discrete Non-Linear Dynamics of a Radio-Frequency Power Amplifier Circuit using Symbolic Regression

• Gabriel Kronberger: Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression

• Wolfgang Roland, Michael Kommenda and Gerald Berger-Weber: Application of Symbolic Regression in Polymer Processing