Unit-Aware Genetic Programming for the Development of Empirical Equations

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InProceedings{Reuter:2024:PPSN,

• author = "Julia Reuter and Viktor Martinek and Roland Herzog and Sanaz Mostaghim",
• title = "Unit-Aware Genetic Programming for the Development of Empirical Equations",
• booktitle = "18th International Conference on Parallel Problem Solving from Nature",
• year = "2024",
• editor = "Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck",
• volume = "15148",
• series = "Lecture Notes in Computer Science",
• pages = "168--183",
• address = "University of Applied Sciences Upper Austria, Hagenberg, Austria",
• month = "13-18 " # sep,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Unit-awareness, Physics Constraints",
• isbn13 = "978-3-031-70054-5",
• URL = "https://rdcu.be/d5m3i",
• DOI = "doi:10.1007/978-3-031-70055-2_11",
• size = "16 pages",
• abstract = "When developing empirical equations, domain experts require these to be accurate and adhere to physical laws. Often, constants with unknown units need to be discovered alongside the equations. Traditional unit-aware genetic programming (GP) approaches cannot be used when unknown constants with undetermined units are included. This paper presents a method for dimensional analysis that propagates unknown units as jokers and returns the magnitude of unit violations. We propose three methods, namely evolutive culling, a repair mechanism, and a multi-objective approach, to integrate the dimensional analysis in the GP algorithm. Experiments on datasets with ground truth demonstrate comparable performance of evolutive culling and the multi-objective approach to a baseline without dimensional analysis. Extensive analysis of the results on datasets without ground truth reveals that the unit-aware algorithms make only low sacrifices in accuracy, while producing unit-adherent solutions.",
• notes = "https://ppsn2024.fh-ooe.at/program/",

}

Genetic Programming entries for Julia Reuter Viktor Martinek Roland Herzog Sanaz Mostaghim

Citations