An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods

This is the Python code of the proposed ADM to compare reference-point based interactive evolutionary multiobjective optimization methods.

Afsar B., Miettinen, K., and Ruiz, A.B. An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods, submitted to the 11th International Conference Series on Evolutionary Multi-Criterion Optimization (EMO), 2021.

Master branch does not include the results which have big sizes. To see the results of the EMO2021 submission, please refer to the emo2021 branch.