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There now exist algorithms that use both Genetic Programming (GP) and Large Language ModelsLarge Language Model (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 workPrompt.

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Survey of Genetic Programming and Large Language Models

  • 章节

  • 发表日期：

    2025年

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  • Erik Hemberg,
  • Steven Jorgensen,
  • Una-May O’Reilly

摘要

There now exist algorithms that use both Genetic Programming (GP) and Large Language ModelsLarge Language Model (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 workPrompt.