LLMs for step size adaptation in Evolutionary Algorithms

This repo implements the code for the paper "An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms" by Custode et al. @ GECCO 2024.

Installation

pip install -r requirements.txt

Usage

Set your groq token in the launch.py file (line 7).

Run the experiments with:

python launch.py

Citation

Cite this code as:

@inproceedings{custode2024investigation,
  title={{An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms}},
  author={Custode, Leonardo Lucio and Caraffini, Fabio and Yaman, Anil and Iacca, Giovanni},
  booktitle={Genetic and Evolutionary Computation Conference Companion},
  publisher={ACM},
  year={2024},
  address={{Melbourne, Australia}},
}