public override Vec2i Select_Parent_Coordinates(Random randomness_provider, MEL__Algorithm <T> map_elites)
{
//int w = map_elites.state.individuals.GetLength(0);
//int h = map_elites.state.individuals.GetLength(1);
double[,] parent_fitness_table = map_elites.Q_ST_Fitness_Table();
double highest_fitness = parent_fitness_table.Max();
Vec2i best_value_coordinates = MEL_PSM__Help_Methods.Best_Value_Coordinates(
randomness_provider,
map_elites.state.individual_exists,
parent_fitness_table,
highest_fitness
);
return(best_value_coordinates);
//List<Vec2i> candidates = new List<Vec2i>();
//for (int x = 0; x < w; x++)
//{
// for (int y = 0; y < h; y++)
// {
// if (parent_fitness_table[x, y] == highest_fitness)
// {
// candidates.Add(new Vec2i(x, y));
// }
// }
//}
//return candidates.Random_Item(randomness_provider);
}
public static void Save_Feature_Tables_PNG <T>(
string this_experiment__output_folder,
int random_seed,
int current_iteration,
MEL__Algorithm <T> map_elites,
double min_fitness,
double max_fitness
)
where T : MEL__Individual
{
// data analysis tables - folder paths
string individual_exists__png_folder = Path.Combine(
this_experiment__output_folder, "PNG_0_A_individual_exists");
string fitness__png_folder = Path.Combine(
this_experiment__output_folder, "PNG_0_B_fitness");
string selections_per_location__png_folder = Path.Combine(
this_experiment__output_folder, "PNG_1_A_selections_per_location");
string offspring_survivals_per_location__png_folder = Path.Combine(
this_experiment__output_folder, "PNG_1_B_offspring_survivals_per_location");
IO_Utilities.CreateFolder(individual_exists__png_folder);
IO_Utilities.CreateFolder(fitness__png_folder);
IO_Utilities.CreateFolder(selections_per_location__png_folder);
IO_Utilities.CreateFolder(offspring_survivals_per_location__png_folder);
/////////////////////////////////////////////////////////////////////////
// SAVE PNG FILES...
////////////////////////////////////////////////////////////////////////
Bitmap individual_exists__image =
map_elites.state.individual_exists.To_HeatMap(
Color.FromArgb(255, 255, 255),
Color.FromArgb(0, 0, 0)
);
string individual_exists__png__file_path =
Path.Combine(individual_exists__png_folder,
"individual_exists__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".png"
);
individual_exists__image.SaveToDisk(
individual_exists__png__file_path
);
individual_exists__image.Dispose();
var fitness_table = map_elites.Q_ST_Fitness_Table();
Bitmap fitness__image =
fitness_table.To_HeatMap(
min_fitness,
max_fitness,
Color.Red,
Color.Green,
Color.Magenta
);
string fitness__png__file_path =
Path.Combine(fitness__png_folder,
"fitness__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".png"
);
fitness__image.SaveToDisk(
fitness__png__file_path
);
fitness__image.Dispose();
Bitmap selections_per_location__image =
map_elites.state.selections__per__location.To_HeatMap(
0,
map_elites.state.selections__per__location.Max(),
Color.Red,
Color.Magenta
);
string selections_per_location__png__file_path =
Path.Combine(selections_per_location__png_folder,
"selections_per_location__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".png"
);
selections_per_location__image.SaveToDisk(
selections_per_location__png__file_path
);
selections_per_location__image.Dispose();
Bitmap offspring_survivals_per_location__image =
map_elites.state.offspring_survivals__per__location.To_HeatMap(
0,
map_elites.state.offspring_survivals__per__location.Max(),
Color.Red,
Color.Magenta
);
string offspring_survivals_per_location__png__file_path =
Path.Combine(offspring_survivals_per_location__png_folder,
"offspring_survivals_per_location__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".png"
);
offspring_survivals_per_location__image.SaveToDisk(
offspring_survivals_per_location__png__file_path
);
offspring_survivals_per_location__image.Dispose();
}
public static void Save_Feature_Tables_CSV <T>(
string this_experiment__output_folder,
int random_seed,
int current_iteration,
MEL__Algorithm <T> map_elites
)
where T : MEL__Individual
{
// data analysis tables - folder paths
string individual_exists__csv_folder = Path.Combine(
this_experiment__output_folder, "CSV_0_A_individual_exists");
string fitness__csv_folder = Path.Combine(
this_experiment__output_folder, "CSV_0_B_fitness");
string selections_per_location__csv_folder = Path.Combine(
this_experiment__output_folder, "CSV_1_A_selections_per_location");
string offspring_survivals_per_location__csv_folder = Path.Combine(
this_experiment__output_folder, "CSV_1_B_offspring_survivals_per_location");
IO_Utilities.CreateFolder(individual_exists__csv_folder);
IO_Utilities.CreateFolder(fitness__csv_folder);
IO_Utilities.CreateFolder(selections_per_location__csv_folder);
IO_Utilities.CreateFolder(offspring_survivals_per_location__csv_folder);
/////////////////////////////////////////////////////////////////////////
// SAVE CSV FILES...
////////////////////////////////////////////////////////////////////////
string individual_exists_table__csv__file_path =
Path.Combine(individual_exists__csv_folder,
"individual_exists_table__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".csv"
);
IO_Utilities.Append_To_File(
individual_exists_table__csv__file_path,
map_elites.state.individual_exists.To_CSV_0_1()
);
string fitness_table__csv__file_path =
Path.Combine(fitness__csv_folder,
"fitness_table__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".csv"
);
IO_Utilities.Append_To_File(
fitness_table__csv__file_path,
map_elites.Q_ST_Fitness_Table().To_CSV()
);
string selections_per_location__csv__file_path =
Path.Combine(selections_per_location__csv_folder,
"selections_per_location__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".csv"
);
IO_Utilities.Append_To_File(
selections_per_location__csv__file_path,
map_elites.state.selections__per__location.To_CSV()
);
string offspring_survivals_per_location__csv__file_path =
Path.Combine(offspring_survivals_per_location__csv_folder,
"offspring_survivals_per_location__"
+ "seed_" + random_seed.ToString()
+ "__iter_" + current_iteration.ToString()
+ ".csv"
);
IO_Utilities.Append_To_File(
offspring_survivals_per_location__csv__file_path,
map_elites.state.offspring_survivals__per__location.To_CSV()
);
}