public static void Test_Genetic(string mesh_type)
        {
            int[] sizes_mesh = new int[21] {
                10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50
            };
            int[] final_positions = new int[21] {
                99, 143, 195, 255, 323, 399, 483, 575, 675, 783, 899, 1023, 1155, 1295, 1443, 1599, 1763, 1935, 2115, 2303, 2499
            };

            for (int i = 0; i < sizes_mesh.Length; i++)
            {
                string size      = "_" + sizes_mesh[i] + "x" + sizes_mesh[i] + ".txt";
                string file_name = mesh_type + size;

                Console.WriteLine("Init Execution -> " + file_name);

                //-------------------------------------------------------------------
                //Create the mesh environment
                MeshEnvironment env = new MeshEnvironment(_start: 0, _final: final_positions[i], _file_name: file_name, sizes_mesh[i]);
                env.InitEnviroment(type_mesh: mesh_type);

                //-------------------------------------------------------------------
                for (int j = 0; j < num_test; j++)
                {
                    env.FillDistanceMatrix();
                    DijkstraAlgorithm dk1 = new DijkstraAlgorithm();
                    dk1.Execute(ref env);

                    GeneticAlgorithm gn1 = new GeneticAlgorithm();
                    gn1.Execute(ref env);


                    //Insert the obstacle in a middle zone of the current optimal solution
                    InsertSeveralObstacle(ref env, num_obstacle: 2, num_routes: 2);

                    env.FillDistanceMatrix();
                    DijkstraAlgorithm dk2 = new DijkstraAlgorithm();
                    dk2.Execute(ref env);

                    GeneticAlgorithm gn2 = new GeneticAlgorithm();
                    gn2.Execute(ref env);

                    ////Store variables in a txt
                    Console.WriteLine("Execution {0} of " + file_name, j);

                    StoreVariable_Genetic(mesh_type, ref env, ref dk1, ref gn1, ref dk2, ref gn2);

                    env.ClearObstacles();
                }

                Console.WriteLine("End Execution -> " + file_name);
                Console.WriteLine("---------------------------------------------");
            }
        }
        public static void Test_RWv2_ACOv0(string mesh_type)
        {
            int[] sizes_mesh = new int[21] {
                10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50
            };
            int[] final_positions = new int[21] {
                99, 143, 195, 255, 323, 399, 483, 575, 675, 783, 899, 1023, 1155, 1295, 1443, 1599, 1763, 1935, 2115, 2303, 2499
            };

            for (int i = 0; i < sizes_mesh.Length; i++)
            {
                string size      = "_" + sizes_mesh[i] + "x" + sizes_mesh[i] + ".txt";
                string file_name = mesh_type + size;

                Console.WriteLine("Init Execution -> " + file_name);

                //-------------------------------------------------------------------
                //Create the mesh environment
                MeshEnvironment env = new MeshEnvironment(_start: 0, _final: final_positions[i], _file_name: file_name, sizes_mesh[i]);
                env.InitEnviroment(type_mesh: mesh_type);

                //-------------------------------------------------------------------
                for (int j = 0; j < num_test; j++)
                {
                    //............................................................................
                    // ROUTE 1
                    env.FillDistanceMatrix();
                    DijkstraAlgorithm dk1 = new DijkstraAlgorithm();
                    dk1.Execute(ref env);

                    RandomWalkv2 rw1 = new RandomWalkv2();
                    rw1.ExecuteRandomWalk(ref env);

                    AntColonyOptimizationv0 aco1 = new AntColonyOptimizationv0(_random_walk: true);
                    aco1.ExecuteACO(ref env);

                    //............................................................................
                    //Insert the obstacle in a middle zone of the current optimal solution
                    InsertSeveralObstacle(ref env, num_obstacle: 2, num_routes: 2);
                    //............................................................................
                    // ROUTE 2 - REROUTING

                    env.FillDistanceMatrix();
                    DijkstraAlgorithm dk2 = new DijkstraAlgorithm();
                    dk2.Execute(ref env);

                    RandomWalkv2 rw2 = new RandomWalkv2();
                    rw2.ExecuteRandomWalk(ref env);

                    AntColonyOptimizationv0 aco2 = new AntColonyOptimizationv0(_random_walk: true);
                    aco2.ExecuteACO(ref env);

                    //............................................................................
                    ////Store variables in a txt
                    Console.WriteLine("Execution {0} of " + file_name, j);
                    StoreVariable_RWv2_ACOv0(mesh_type, ref env, ref dk1, ref aco1, ref dk2, ref aco2);

                    //............................................................................
                    //Reset environment
                    env.InitPheromones(0);
                    env.ClearObstacles();
                }

                Console.WriteLine("End Execution -> " + file_name);
                Console.WriteLine("---------------------------------------------");
            }
        }