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.

Installation

So far, the only form of installation is to checkout 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 the use of the module.