A collection of handy functions for multi-objective optimization written in C with a python wrapper
Currently it has the current utilities:
- identifying the Pareto front (non-dominated solutions) among a set of solutions.
- computing quality indicators such as hypervolume, inverted generational distance, generational distance, and additive epsilon indicator.
In a system shell, cd into the multi-obj-opt-python-util folder, and execute the following command:
python setup.py
This will compile the *.c files and run a test script found in the python-mo-util folder.
To use it withnin your code, just copy the *.py and *.so files from the python-mo-util folder to your working folder.
Enjoy..