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Schema-based diversification in genetic programming., and . GECCO, page 1111-1118. ACM, (2018)Operon C++: an efficient genetic programming framework for symbolic regression., , and . GECCO Companion, page 1562-1570. ACM, (2020)Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition., , , , , , , , , and 14 other author(s). CoRR, (2023)Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression., , , , , and . GPTP, page 1-17. Springer, (2016)Optimization Networks for Integrated Machine Learning., , , , , , and . EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 392-399. Springer, (2017)Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge., , , , and . Evol. Comput., 30 (1): 75-98 (2022)A precise symbolic emulator of the linear matter power spectrum., , , , , , , , and . CoRR, (2023)Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression., , , and . CoRR, (2021)On the Effectiveness of Genetic Operations in Symbolic Regression., , and . CoRR, (2021)Cluster Analysis of a Symbolic Regression Search Space., , , , , and . GPTP, page 85-102. Springer, (2018)