Advancing Machine Learning with Tangled Program Graphs: The Gegelati Framework for Efficient and Reproducible Solutions

Created by W.Langdon from gp-bibliography.bib Revision:1.9056

@InProceedings{Vacher:2025:GPTP,

• author = "Quentin Vacher",
• title = "Advancing Machine Learning with Tangled Program Graphs: The {Gegelati} Framework for Efficient and Reproducible Solutions",
• 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",
• address = "Michigan State University, USA",
• month = jun # " 5-7",
• note = "lightning talk",
• keywords = "genetic algorithms, genetic programming",
• notes = "To be published after the workshop",

}

Genetic Programming entries for Quentin Vacher

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