Multi-Objective Bayesian Optimization
- Python 3.7
- numpy 1.16
- matplotlib 3.0
- scikit-learn 0.22
- deap 1.3
- scipy 1.1
- Clone this repo to your local machine using
https://github.com/ppgaluzio/MOBOpt.git - Run
python3 setup.py install - Using pip
pip3 install https://github.com/ppgaluzio/MOBOpt/archive/master.zip
Check wiki for basic usage and documentation
Files PrintFront.py and Analisa.py, in the scripts folder, are
examples of how to analyze the output of the method
To cite MOBOpt, please refer to our paper
@article{GALUZIO2020100520,
title = "MOBOpt — multi-objective Bayesian optimization",
journal = "SoftwareX",
volume = "12",
pages = "100520",
year = "2020",
issn = "2352-7110",
doi = "https://doi.org/10.1016/j.softx.2020.100520",
url = "http://www.sciencedirect.com/science/article/pii/S2352711020300911",
author = "Paulo Paneque Galuzio and Emerson Hochsteiner [de Vasconcelos Segundo] and Leandro dos Santos Coelho and Viviana Cocco Mariani"
}
For the actual version described in the publication, refer to release v1.0