The python version reference vector guided evolutionary algorithm.
Project description
desdeo-emo
The evolutionary algorithms package within the desdeo
framework.
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
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 (3.8 is NOT supported at the moment)
- 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 install
inside the virtual environment shell.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
desdeo_emo-1.0.2.tar.gz
(45.0 kB
view hashes)
Built Distribution
desdeo_emo-1.0.2-py3-none-any.whl
(68.7 kB
view hashes)
Close
Hashes for desdeo_emo-1.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eca0f9a80736c89e62ac8c0937151a871c01abf0aa5a9a0fd036ed25ad3caee6 |
|
MD5 | 544cab9f0dba763b0d996fc9324eeb9e |
|
BLAKE2b-256 | 1f7b9a3f55811de3f56f9544ec1fca8a5780658ef1dc2732cd26b9f7ad3976f6 |