On September 17, 2024, CWI researchers (J. Koch, T. Alderliesten, P.A.N. Bosman) presented their work, "Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression," at PPSN 2024. The study enhanced the GP-GOMEA algorithm by simultaneously optimizing mathematical expression structures and constants for symbolic regression.
This approach aligns with projects like TRUST AI by advancing symbolic regression techniques that prioritize transparent, human-readable models. By refining both structure and constants concurrently, the method supports the development of reliable and explainable AI systems.
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