Enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InProceedings{Crary:2024:PPSN,

• author = "Christopher Crary and Bogdan Burlacu and Wolfgang Banzhaf",
• title = "Enhancing the Computational Efficiency of Genetic Programming through Alternative Floating-Point Primitives",
• 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 = "322--339",
• address = "University of Applied Sciences Upper Austria, Hagenberg, Austria",
• month = "13-18 " # sep,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Field-programmable gate arrays, Approximate computing, Floating-point, Symbolic regression",
• isbn13 = "978-3-031-70054-5",
• URL = "https://rdcu.be/d5mBZ",
• DOI = "doi:10.1007/978-3-031-70055-2_20",
• code_url = "https://github.com/christophercrary/conference-ppsn-2024",
• notes = "https://ppsn2024.fh-ooe.at/program/",

}

Genetic Programming entries for Christopher C Crary Bogdan Burlacu Wolfgang Banzhaf

Citations