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Leonardo Trujillo

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Jul 2026

M5GP 2.0: Extensions and Enhancements to a Constructive Feature Induction System Based on Genetic Programming

The results indicate that M5GP 2.0 constitutes a robust and scalable symbolic regression framework that achieves a favourable balance between predictive performance, model compactness, and computational efficiency, while retaining the potential for symbolic traceability and post hoc interpretability.

L. Florido, Leonardo Trujillo, Javier Carmona Troyo et al. · 0 citations

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