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 RVEA and NSGA-III

Currently NOT supported:

• Binary and integer variables.

To test the code, open the binder link and read example.ipynb.

Read the documentation here

• Python 3.7 or newer.
• Poetry dependency manager: Only for developers

• Create a new virtual enviroment for the project
• Run: pip install desdeo_emo

• Download and extract the code or git clone
• Create a new virtual environment for the project
• Run poetry install inside the virtual environment shell.