nsgaiii: An implementation of NSGA-III in Python

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.

Installation

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

Demonstration

I have prepared a sample Jupyter/IPython notebook that illustrates NSGA-III and the use of the module.