Resources and extra documentation for the manuscript "Learning Decision Variables in Many-Objective Optimization Problems" published in IEEE Latin America Transactions. The code is organized by functionalities. The scripts and folders description is as follows

1. main.py: Example of script for running a small example of both regression and optimization experiments.
2. regression_experiment.py: Code for execution of the regression experiment.
3. optimization_experiment.py: Code for execution of the optimization experiment.
4. dvl.py: Source code of the DVL algorithm.
5. dvl_utils.py: Utility functions used by the DVL algorithm.
6. models_utils.py: Utility functions for creating machine learning models.
7. problems_utils.py: Utility functions used by optimization problems.
8. \ProjectImages. Some manuscript images and figures for the README.m file.

• Python 3.10 or later

1. Run main.py script to execute a demonstration of the experiments.
2. For the regression experiment a folder named Fronts need to be downloaded from Fronts and added to the application's root directory.