Symbolic Regression

This paper proposes diversified residual symbolic regression (DRSR), which uses the quality-diversity paradigm to collect accurate symbolic expressions with diverse residual patterns. It enables users to select expressions based on domain knowledge and reveals multiple underlying relationships in synthetic and real-world datasets.