nsgaiii is a Python implementation of the selection algorithm of NSGA-III as described in:
- Deb, K., & Jain, H. (2014). An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints. IEEE Transactions on Evolutionary Computation, 18(4), 577–601. doi:10.1109/TEVC.2013.2281535.
nsgaiii can be used with -as has been developed relying on- the DEAP module.
This code is highly experimental. Contributions and bug fixes are welcome.
Notice: This code has been integrated in DEAP as their function
selNSGA3. I recommend you use that implementation as it is actively maintained.
I have prepared a sample Jupyter/IPython notebook that illustrates NSGA-III and the use of the module.
So far, the only form of installation is to clone the project from GitHub,
git clone https://github.com/lmarti/nsgaiii.git...and then installing it by running:
python setup.py install