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 โ 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