Benefits of the IOPIS Paradigm on the Landscales of Multiobjective Optimization Problems

# This repository contains the data and plots for the paper titled"Benefits of the IOPIS paradigm on the Landscapes of Multiobjective Optimization Problems"

The repository is organized as follows:- The `data` folder contains two subfolders,`original` and `iopis` each containing csv files    with the name of a BBOB biobjective problem. The files each contain four columns titled `x1`, `x2`, `y1`, and `y2`.    Each file contains data points in a uniform grid for the problem. For the files in the `original` folder,    the original objective values are stored in the `y1` and `y2` columns. For the files in the `iopis` folder,    the scalarized objective values are stored in the `y1` and `y2` columns.- The `plots` folder contains two subfolders, `original` and `iopis` each containing the PLOT visualizations    for the datasets in the `data` folder. The plots are named after the BBOB biobjective problem they represent.    Like the data files, the plots in the `original` folder represent the original objective values, and     therefore the original landscape of the problem. The plots in the `iopis` folder represent the scalarized    objective values, and therefore the IOPIS landscape of the problem. These plots are generated using the    moPLOT package in R.