If you're using this piece of software, please care enough to cite it in your publications
Relying on ax-platform to experiment around 0-code parameter variation and multi-objective optimization of OpenFOAM cases.
- Parameter values are fetched through a YAML/JSON configuration file. Absolutely no code should be needed, add parameters to the YAML file and they should be picked up automatically
- The no-code thing is taken to the extreme, through a YAML config file, you can (need-to):
- Specify the template case
- Specify how the case is ran
- Specify how/where parameters are substituted
- Specify how your metrics are computed
Some examples, which range from simple and moderate levels of complexity, are provided as reference.
Strictly speaking, you don't need an OpenFOAM installation unless you are running a CFD case. You can always use your own code to evaluate the trials; but parameters must be passed through an OpenFOAM-like dictionary (See single-objective opt. example for inspiration.
# Clone the repository
git clone https://github.com/FoamScience/OpenFOAM-Multi-Objective-Optimization foamBO
cd foamBO
# Install dependencies
pip3 install -r requirements.txt
By either filing issues or opening pull requests, you can contribute to the development of this project, which I would appreciate.