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 override Vec2i Select_Parent_Coordinates(Random randomness_provider, MEL__Algorithm <T> map_elites)
{
double[,] exploit_table = MEL_PSM__Help_Methods.EXPLOIT_Table_Calculation(
map_elites.state.individual_exists,
map_elites.state.selections__per__individual,
map_elites.state.offspring_survivals__per__individual,
out double highest_exploit_value
);
Vec2i selected_coordinates = MEL_PSM__Help_Methods.Best_Value_Coordinates(
randomness_provider,
map_elites.state.individual_exists,
exploit_table,
highest_exploit_value
);
return(selected_coordinates);
}
