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. 2026 Feb 11;27(1):bbaf722. doi: 10.1093/bib/bbaf722

Figure 2.

Alt text: Tree diagram presenting an overview of symbolic regression methods, with branches grouping approaches such as GP, neural symbolic regression, grammar-based methods, Bayesian symbolic regression, constraint-based strategies, and application-specific methods.

Overview of symbolic regression methods as a tree diagram categorizing existing approaches based on their core modeling principles, such as Genetic Programming and Evolutionary Methods [7, 15–36], Neural Symbolic Regression [9, 10, 12, 37–73], Grammar-based Symbolic Regression [74–78], Bayesian Symbolic Regression [11, 79–81], Structured Search or Mathematical Constraints [82–102], or Application-specific Symbolic Regression [8, 94, 103–105].