On the Effects of Continuous Pruning on Symbolic Regression for Different Variants of Evolutionary Search

Created by W.Langdon from gp-bibliography.bib Revision:1.9101

@InProceedings{Affenzeller:2025:GPTP,

• author = "Michael Affenzeller and Bernhard Werth and Michael Heckmann and Bogdan Burlacu",
• title = "On the Effects of Continuous Pruning on Symbolic Regression for Different Variants of Evolutionary Search",
• booktitle = "Genetic Programming Theory and Practice XXII",
• year = "2025",
• editor = "Bogdan Burlacu and Fabricio {Olivetti de Franca} and Alexander Lalejini and Stephen Kelly and Wolfgang Banzhaf",
• series = "Genetic and Evolutionary Computation",
• pages = "1--22",
• address = "Michigan State University, USA",
• month = jun # " 5-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-981-95-6397-5",
• DOI = "10.1007/978-981-95-6398-2_1",
• abstract = "In machine learning, pruning techniques are often used in decision trees, rule-based learning, or neural networks to obtain simpler models. In addition to improving interpretability, the use of pruning is often motivated by the avoidance of overfitting. In the field of symbolic regression based on genetic programming, pruning is used comparatively less frequently and, when it is used, it is more likely to be post-pruning after the learning process has been completed. we analyze a pruning variant that is designed for use during the execution of an evolutionary algorithm for symbolic regression and combines multiple techniques to enable beneficial simplification during execution without simultaneously unduly restricting genetic diversity that is so important for the convergence behavior of an evolutionary algorithm. The effects of some interesting and characteristic algorithm instances are analyzed using benchmark problems currently frequently used in the scientific domain and analysed in terms of population dynamics, as well as compared with results published in the literature.",
• notes = "published in 2026 after the workshop",

}

Genetic Programming entries for Michael Affenzeller Bernhard Werth Michael Heckmann Bogdan Burlacu

Citations