Front Files =========== The `Saes` library provides a multiobjective module designed for data from multiobjective optimization studies. The data are composed of the best and median Pareto front approximations found by a set of algorithms when solving a set of problems. The files containing these data must be stored in a folder tree following this structura: .. code-block:: πŸ“‚ fronts_folder β”œβ”€β”€ πŸ“‚ algorithm-1/ β”‚ β”œβ”€β”€ πŸ“‚ instance-1 | | β”œβ”€β”€ BEST_metric-1_FUN.csv | | β”œβ”€β”€ MEDIAN_metric-1_FUN.csv | | . | | . | | β”œβ”€β”€ BEST_metric-k_FUN.csv | | β”œβ”€β”€ MEDIAN_metric-k_FUN.csv β”‚ β”œβ”€β”€ πŸ“‚ instance-2 | . | . | └── πŸ“‚ instance-m β”œβ”€β”€ πŸ“‚ algorithm-2/ . . β”œβ”€β”€ πŸ“‚ algorithm-n/ Structure Details ----------------- - Each **algorithm** has its own directory inside ``fronts_folder``. - Within each algorithm’s folder, **instances** are stored as subdirectories. - Each instance contains multiple CSV files representing Pareto fronts, following the format: - ``BEST_metric-x_FUN.csv``: The file with the best Pareto front approximation based on metric `x`. - ``MEDIAN_metric-x_FUN.csv``: The file with the median Pareto front approximation based on metric `x`.