Survey of Genetic Programming and Large Language Models

Created by W.Langdon from gp-bibliography.bib Revision:1.8947

@InProceedings{Hemberg:2024:GPTP,

• author = "Erik Hemberg and Steven Jorgensen and Una-May O'Reilly",
• title = "Survey of Genetic Programming and Large Language Models",
• booktitle = "Genetic Programming Theory and Practice XXI",
• year = "2024",
• editor = "Stephan M. Winkler and Wolfgang Banzhaf and Ting Hu and Alexander Lalejini",
• series = "Genetic and Evolutionary Computation",
• pages = "67--86",
• address = "University of Michigan, USA",
• month = jun # " 6-8",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, LLM, AI, ANN",
• isbn13 = "978-981-96-0076-2",
• DOI = "10.1007/978-981-96-0077-9_4",
• abstract = "There now exist algorithms that use both Genetic Programming (GP) and Large Language Models (LLMs) to evolve solutions. This is a composition of two different methods that show some potential. We survey GP and LLM algorithms and their applications from a GP centric perspective. We provide a taxonomy, a breakdown of application domains, and a categorization of the implementation details. Finally, we discuss existing research gaps and possible directions for future work.",
• notes = "Published in 2025 after the workshop",

}

Genetic Programming entries for Erik Hemberg Steven P Jorgensen Una-May O'Reilly

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