Jae‐Mo Kang

A Comprehensive Survey on Symbolic Regression: State-of-the-Art Approaches, Key Applications, Benchmark Evaluations, and Future Research Directions

This survey comprehensively analyzes contemporary symbolic regression methodologies by systematically integrating four paradigmatic approaches: deterministic methods, metaheuristic algorithms, neural-symbolic frameworks, and emerging hybrid strategies, establishing a unified taxonomic framework that bridges evolutionary computation, mathematical programming, and deep learning paradigms.