SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization
This repo holds the source code for our work published on Swarm adn Evolutionary Computation [download the paper] :
@article{chen2023sf,
title={SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization},
author={Chen, Maiyue and Tan, Ying},
journal={Swarm and Evolutionary Computation},
volume={80},
pages={101314},
year={2023},
publisher={Elsevier}
}
Installation
Clone the repo and create a conda environment with the environment.yaml
file:
conda env create -f environment.yaml
Run experiments for basic functions
python run_sffwa.py --mode basic
Run experiments for CEC2013 LSGO
python run_sffwa.py --mode bench
Run experiments for reinforcement learning
python run_sffwa.py --mode mujoco