CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models

Install Dependency

Requires: python >= 3.10

conda create -n coevo python=3.10
conda activate coevo
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118  # install your torch manually
cd CoEvo
pip install -e . 

Run

model_config

{
  "host": "<--API_ENDPOINT-->",
  "key":"<--API_Key-->",
  "model":"gpt-4o-mini",
  "url": "/v1/chat/completions",
  "timeout": 120
}

Requires: python >= 3.10

python main_run.py --problem oscillation_1

• Running log supported:

conda activate coevo  # tensorboard dependecy is included in the package
cd res
tensorboard.exe --logdir .  # for windows users

Validate the results for the paper

Requires: python >= 3.10

python test_res.py --problem oscillation_1 --paper coevo --model gpt35

Contact

If you are interested in CoEvo or if you encounter any difficulty using the platform, you can:

1. Join our QQ Group

   

2. Contact us through email pingguo5-c@my.cityu.edu.hk

Citation

@misc{guo2024coevocontinualevolutionsymbolic,
      title={CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models}, 
      author={Ping Guo and Qingfu Zhang and Xi Lin},
      year={2024},
      eprint={2412.18890},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2412.18890}, 
}