Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design

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

@InProceedings{Galeta:2026:CEC,

• author = "Ondrej Galeta and Lukas Sekanina",
• title = "Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design",
• booktitle = "IEEE CEC 2026",
• year = "2026",
• editor = "Nelishia Pillay and Yew-Soon Ong and Carlos Coello and Juergen Branke and Simon Lucas and Chuan-Kang Ting and Bing Xue",
• pages = "cec pap377",
• address = "Maastricht, the Netherlands",
• month = "21-26 " # jun,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, mutation operator, transformer neural network, ANN, approximate circuit, electronic design automation, approximate computing",
• URL = "https://wcci.klinkhamergroup.com/papers/by_date.html#cec_pap377",
• URL = "https://linklings.s3.amazonaws.com/organizations/WCCI/wcci2026/submissions/stype102/B4agh-cec_pap377s2.pdf",
• size = "8 pages",

}

Genetic Programming entries for Ondrej Galeta Lukas Sekanina

Citations