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:

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.