static void Main(string[] args)
{
int[] i_population = { 40, 64, 80 };
float[] i_mutation_rate = { 0.06f, 0.08f };
// This text is added only once to the file.
if (!File.Exists(path))
{
// Create a file to write to.
using (StreamWriter sw = File.CreateText(path))
{
sw.WriteLine("AG_MRV - Solutions\n");
}
}
StreamReader sr_substrate = new StreamReader("sub.gtt");
string txt_substrate = sr_substrate.ReadToEnd();
sr_substrate.Close();
StreamReader sr_virtual = new StreamReader("vir.gtt");
string txt_virtual = sr_virtual.ReadToEnd();
sr_virtual.Close();
Console.WriteLine("Loading Substrate Graph...");
SwiftGraph graph_substrate = new SwiftGraph(txt_substrate);
Console.WriteLine("\nLoading Virtual Graph...");
SwiftGraph graph_virtual = new SwiftGraph(txt_virtual);
List<IterationResult> iterationsResults;
for (int pop = 0; pop < 3; pop++)
//for (int mut = 0; mut < 3; mut++)
{
int mut = 1;
iterationsResults = new List<IterationResult>();
// Ler essas informações da stdin
int iterations = 200;
int population_size = i_population[pop];
int elite_child_count = 2;
float mutation_rate = i_mutation_rate[mut];
using (StreamWriter sw = File.AppendText(path))
{
sw.WriteLine("");
sw.WriteLine(" INSTANCE");
sw.WriteLine(" Iterations: " + iterations);
sw.WriteLine(" Population Size: " + population_size);
sw.WriteLine(" Elite Childs: " + elite_child_count);
sw.WriteLine(" Mutation Rate: " + mutation_rate);
}
Console.WriteLine(" INSTANCE");
Console.WriteLine(" Iterations: " + iterations);
Console.WriteLine(" Population Size: " + population_size);
Console.WriteLine(" Elite Childs: " + elite_child_count);
Console.WriteLine(" Mutation Rate: " + mutation_rate);
Console.WriteLine(" -> Solving ...");
// 4 times
for (int it = 0; it < 4; it++)
{
current_iteration = new IterationResult(0,0,0);
Console.WriteLine("\n -> It " + it);
Stopwatch watch = Stopwatch.StartNew();
// Apply the Genetic Algorithm
GAGenome solution = GeneticAlgorithm.geneticAlgorithm(graph_substrate, graph_virtual, iterations, population_size, elite_child_count, mutation_rate);
watch.Stop();
float seconds = watch.ElapsedMilliseconds / 1000;
// Found a solution. Log
Console.WriteLine("Solution found in " + seconds +" seconds. Value: " + solution.value + "\n");
current_iteration.value = solution.value;
current_iteration.seconds = seconds;
iterationsResults.Add(new IterationResult(current_iteration));
}
InstanceResult ir = new InstanceResult(iterationsResults);
using (StreamWriter sw = File.AppendText(path))
{
sw.WriteLine(" -> Mean Value: " + ir.mean_value);
sw.WriteLine(" -> Avarage Seconds: " + ir.mean_seconds);
sw.WriteLine(" -> Best Value: " + ir.best_value);
sw.WriteLine(" -> Worst Value: " + ir.worst_value);
sw.WriteLine(" -> Avarage Initial Population Value: " + ir.mean_initial_population_value);
}
}
Console.WriteLine("Done.\n");
Console.ReadLine();
}
public IterationResult(IterationResult r)
{
this.seconds = r.seconds;
this.value = r.value;
this.mean_initial_population_value = r.mean_initial_population_value;
}