//Grafica una lista de vectores de segunda o tercera dimensión, desde cuarta dimensión hacia arriba sólo se pueden graficar las primeras 3 componentes (x,y,z).
//Tuplas que identifican rotación horizontal/vertical para Custom_Scatter3D (Gráfica 3D personalizada).
//Cantidad de tuplas permitidas: Máximo 4 tuplas.
//var degrees_tuple_rotation = new List<(float horizontal_degrees, float vertical_degrees)> {
//(45,45),
//(0,0),
//(90,0),
//(0,90)
//};
//var degrees_rotation = $"[{string.Join(",", degrees_tuple_rotation.Select(tuple => $"('{tuple.horizontal_degrees}','{tuple.vertical_degrees}')"))}]";
//arguments.Add("degrees_rotation", degrees_rotation);
public static void PlotVectors(List <Vector> hyper_points, Dictionary <string, object> arguments = null)
{
if (hyper_points == null || !hyper_points.Any())
{
throw new ArgumentException("La lista <hyper_points> no puede ser nula o estar vacía.");
}
hyper_points = hyper_points.Distinct().ToList();
var dimensional_size = hyper_points.All(hyper_point => hyper_point.DimensionalSize > 1) ? hyper_points.First().DimensionalSize : 1;
if (dimensional_size < 2)
{
throw new ArgumentException("Solo se pueden graficar vectores con al menos dos dimensiones.");
}
string path_to_script = @"C:\Users\Trifenix\Desktop\Tesis_Learnheuristics\Python\PlotPoints.py";
if (arguments == null)
{
arguments = new Dictionary <string, object>();
}
arguments["x"] = $"[{string.Join(',', hyper_points.Select(hyper_point => hyper_point.coordinates[0]).ToList())}]";
arguments["y"] = $"[{string.Join(',', hyper_points.Select(hyper_point => hyper_point.coordinates[1]).ToList())}]";
if (dimensional_size >= 3)
{
arguments["z"] = $"[{string.Join(',', hyper_points.Select(hyper_point => hyper_point.coordinates[2]).ToList())}]";
}
PythonScripter.Run(path_to_script, arguments).ForEach(output_line => Console.WriteLine(output_line));
}
//Evalúa la configuración: Este método debe ejecutar PythonScripter.Run para iniciar el script de python que utiliza la metaheurística de bajo nivel.
//En este caso, ejecuta NSGA-III.py
public float Evaluate(int max_iterations = 1, int seed = 1)
{
string path_to_script = @"C:\Users\Trifenix\Desktop\Tesis_Learnheuristics\Python\Main.py";
var arguments = new Dictionary <string, object> {
["problem"] = ProblemName,
["algorithm"] = "NSGAIII",
["pop_size"] = Parameter("pop_size"),
["crossover_probability"] = Parameter("crossover_probability") / 100,
["n_gen"] = max_iterations,
["seed"] = seed
};
var output = PythonScripter.Run(path_to_script, arguments);
var IGD = output.FirstOrDefault().Substring(5);
Performance = Convert.ToSingle(IGD);
return(Performance);
}
