//---------------------------------------------------------------------
public static void TestRandomWalkv2(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;
//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);
Console.WriteLine("Init Execution -> " + file_name);
//-------------------------------------------------------------------
for (int j = 0; j < num_test; j++)
{
RandomWalkv2 rw2 = new RandomWalkv2();
rw2.ExecuteRandomWalk(ref env);
AntColonyOptimizationv0 acov0 = new AntColonyOptimizationv0(_random_walk: true);
acov0.ExecuteACO(ref env);
////Store variables in a txt
Console.WriteLine("Execution {0} of " + file_name, j);
StoreVariables_RW2(mesh_type, ref env, ref rw2);
StoreVariable_RW2_and_ACOv0(mesh_type, ref env, ref acov0, ref rw2);
env.InitPheromones(0);
}
Console.WriteLine("End Execution -> " + file_name);
Console.WriteLine("---------------------------------------------");
}
}
//--------------------------------------------------------------------
public static void TestACOv0(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;
int j = 0;
Console.WriteLine("Execution -> " + file_name);
while (j < num_test)
{
//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);
//-------------------------------------------------------------------
//Create and Execute ACOv0
AntColonyOptimizationv0 acov0 = new AntColonyOptimizationv0();
acov0.ExecuteACO(ref env);
//-------------------------------------------------------------------
//Store variables in a txt
Console.WriteLine("Execution {0}", j);
StoreTestingVariablesACOv0(mesh_type, ref env, ref acov0);
j++;
//}
}
}
}
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("---------------------------------------------");
}
}
//-------------------------------------------------------------------------------
public static void StoreVariable_RWv2_ACOv0(string mesh_type, ref MeshEnvironment env, ref DijkstraAlgorithm dk1, ref AntColonyOptimizationv0 aco1, ref DijkstraAlgorithm dk2, ref AntColonyOptimizationv0 aco2)
{
string separator = " ";
string method = "rw2_acov0";
Double d2 = aco2.best_cost < dk2.final_best_cost ? dk2.final_best_cost : aco2.best_cost;
Double ac1 = (dk1.final_best_cost / aco1.best_cost) * 100;
Double ac2 = (dk2.final_best_cost / d2) * 100;
string line = mesh_type + separator;
line += env.size + separator;
line += dk1.final_best_cost + separator;
line += aco1.best_cost + separator;
line += ac1 + separator;
line += aco1.execution_time + separator;
line += dk2.final_best_cost + separator;
line += d2 + separator;
line += ac2 + separator;
line += aco2.execution_time;
string path2 = @"data_sets/results/several_methods/";
string variables_file2 = method + "_" + mesh_type + ".txt";
using (StreamWriter file =
File.AppendText(path2 + variables_file2))
{
file.WriteLine(line);
}
string path = @"data_sets/results/several_methods/" + mesh_type + "/";
string variables_file = method + "_" + mesh_type + "_" + env.size + "x" + env.size + ".txt";
using (StreamWriter file =
File.AppendText(path + variables_file))
{
file.WriteLine(line);
}
}
//--------------------------------------------------------------------
public static void StoreTestingVariablesACOv0(string mesh_type, ref MeshEnvironment env, ref AntColonyOptimizationv0 aco)
{
env.FillDistanceMatrix();
DijkstraJustCost dijkstra = new DijkstraJustCost();
Double best_cost = dijkstra.DijkstraAlgo(graph: env.distances, source: env.start_node, verticesCount: env.final_node + 1);
Double percentage_learning = MeasureFunctions.CalculatePercentageLearning(ref env);
string separator = " ";
string line = mesh_type + separator;
line += env.world.Count + separator;
line += env.edges.Count + separator;
line += best_cost + separator;
line += aco.max_ants + separator;
line += aco.alpha + separator;
line += aco.beta + separator;
line += aco.tau_0 + separator;
line += aco.evaporation_factor + separator;
line += aco.percentage_convergence + separator;
line += aco.episode_counter + separator;
line += aco.execution_time + separator;
line += aco.stuck_roads + separator;
line += MeasureFunctions.GetVisitedNodes(ref env) + separator;
line += MeasureFunctions.GetVisitedEdges(ref env) + separator;
line += Math.Round(aco.best_cost, 2) + separator;
line += percentage_learning;
string path = @"data_sets/results/acov0/";
string variables_file = "variables_acov0" + "_" + mesh_type + "_" + env.size + "x" + env.size + ".txt";
using (StreamWriter file =
File.AppendText(path + variables_file))
{
file.WriteLine(line);
}
}
