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 3.8 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.
Citation
If you decide to use DESDEO is any of your works or research, we would appreciate you citing the appropiate paper published in IEEE Access (open access).
Release files for desdeo-emo 1.5.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| desdeo_emo-1.5.0.tar.gz | 64.0 kB | Without provenance | Details for desdeo_emo-1.5.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| desdeo_emo-1.5.0-py3-none-any.whl | Python 3 | none | any | Details for desdeo_emo-1.5.0-py3-none-any.whl |
Total release size: 164.3 kB
Release files / desdeo_emo-1.5.0.tar.gz
| Download URL | desdeo_emo-1.5.0.tar.gz |
|---|---|
| Size | 64.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / desdeo_emo-1.5.0-py3-none-any.whl
| Download URL | desdeo_emo-1.5.0-py3-none-any.whl |
|---|---|
| Size | 100.3 kB |
| Tags | Python 3 |
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