A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.7686

@InProceedings{Geiger:2024:EuroGP,

• author = "Alina Geiger and Dominik Sobania and Franz Rothlauf",
• editor = "Mario Giacobini and Bing Xue and Luca Manzoni",
• title = "A Comprehensive Comparison of Lexicase-Based Selection Methods for Symbolic Regression Problems",
• booktitle = "EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming",
• year = "2024",
• volume = "14631",
• series = "LNCS",
• publisher = "Springer",
• address = "Aberystwyth",
• month = "3-5 " # apr,
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming",
• pages = "192--208",
• abstract = "Lexicase selection is a parent selection method that has been successfully used in many application domains. In recent years, several variants of lexicase selection have been proposed and analyzed. However, it is still unclear which lexicase variant performs best in the domain of symbolic regression. Therefore, we compare relevant lexicase variants on a wide range of symbolic regression problems. We conduct experiments not only over a given evaluation budget but also over a given time as practitioners usually have limited time for solving their problems. Consequently we provide users a comprehensive guide for choosing the right selection method under different constraints in the domain of symbolic regression. Overall, we find that down-sampled epsilon lexicase selection outperforms other selection methods on the studied benchmark problems for the given evaluation budget and for the given time. The improvements with respect to solution quality are up to 68{\%} using down-sampled epsilon-lexicase selection given a time budget of 24 hours",
• isbn13 = "978-3-031-56957-9",
• DOI = "doi:10.1007/978-3-031-56957-9_12",
• notes = "Part of \cite{Giacobini:2024:GP} EuroGP'2024 held in conjunction with EvoCOP2024, EvoMusArt2024 and EvoApplications2024",

}

Genetic Programming entries for Alina Geiger Dominik Sobania Franz Rothlauf

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