private void PerformSession()
{
Console.WriteLine("Running session on {0}", xmlConfigurationPath);
for (int i = 0; i < SimulationsInSession ;i++)
{
var simulation = new EvacuationSimulation(xmlConfiguration.GetBuilding(), xmlConfiguration.GetGeneticsConfiguration());
simulation.StatisticsOutputPath = String.Format("{0}/pass_{1}", sessionFolder, i + 1);
Console.WriteLine("Simulation pass {0}", i + 1);
simulation.Start();
var statistics = simulation.GetStatistics();
if (statistics.BestChromosomeValue > bestChromosomeValue)
{
bestChromosomeValue = statistics.BestChromosomeValue;
bestSessionChromosome = i;
}
}
File.Copy(Path.Combine(sessionFolder, String.Format("pass_{0}", bestSessionChromosome + 1), "best_chromosome.txt"), Path.Combine(sessionFolder, "best_chromosome.txt"));
}
public void RunGA()
{
// If no building is currently loaded then do nothing.
if (String.IsNullOrEmpty(CurrentFile))
return;
CurrentBuilding.ShortGenotype = _geneticsConfiguration.ShortGenotype;
if (CurrentBuilding.ShortGenotype)
{
CurrentBuilding.Rooms
.Where(x => x.NumberOfDoors == 1)
.ToList()
.ForEach(x => x.ApplySimpleEvacuation());
}
GeneticsConfiguration<List<bool>> geneticsConfiguration = _geneticsConfiguration.BuildConfiguration(CurrentBuilding);
_currentSimulation = new EvacuationSimulation(new Building(CurrentBuilding), geneticsConfiguration);
_currentSimulation.GeneticAlgorithm.Completed += OnGeneticCompleted;
// Create view model for presenting progression of algorithm.
Status statusModel = new Status(_currentSimulation.GeneticAlgorithm);
StatusWindow statusWindow = new StatusWindow(statusModel);
// Run algorithm asynchronously.
new Task(_currentSimulation.Start).Start();
statusWindow.ShowDialog();
}
