Semantically-based crossover in genetic programming: application to real-valued symbolic regression

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Geometric Semantic Genetic Programming (2012, background): “[11] propose a measure of semantic distance between individuals based on how their outputs differ for the same set of inputs sampled at random.”
On Using Surrogates with Genetic Programming (2015, methodology): “Last but not least it would be interesting to combine the work presented in this paper with efforts to create improved GP operators incorporating semantic information, such as proposed by Uy et al. (2011), and ﬁtness sharing incorporating semantic information (Nguyen et al., 2012).”
Interpretable scientific discovery with symbolic regression: a review (2022, background): “Mathematics-related R 3 Koza 3 1994 [1] Keijzer 15 2003 [45] Vladislavleva 8 2009 [46] Nguyen 12 2011 [48] Korns 15 2011 [47] Jin 6 2019 [49] Livermore 22 2021 [4]”