The python version reference vector guided evolutionary algorithm.
Project description
desdeo-emo
The evolutionary algorithms package within the desdeo framework.
Code for the SoftwareX paper can be found in this notebook.
Currently supported:
- Multi-objective optimization with visualization and interaction support.
- Preference is accepted as a reference point.
- Surrogate modelling (neural networks and genetic trees) evolved via EAs.
- Surrogate assisted optimization
- Constraint handling using
RVEA - IOPIS optimization using
RVEAandNSGA-III
Currently NOT supported:
- Binary and integer variables.
To test the code, open the binder link and read example.ipynb.
Read the documentation here
Requirements
- Python 3.7 or newer.
- Poetry dependency manager: Only for developers
Installation process for normal users
- Create a new virtual enviroment for the project
- Run:
pip install desdeo_emo
Installation process for developers
- Download and extract the code or
git clone - Create a new virtual environment for the project
- Run
poetry installinside the virtual environment shell.
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