public double CountFitness(Team team, int seed, bool verbose = false)
{
Random r = new Random(seed);
var fitness = 0.0;
for (int i = 0; i < parameters.PositionsOfShepherdsSet.Count; i++)
{
var seedForSheep = r.Next();
var sheep = AgentFactory.GetSheep(parameters.PositionsOfSheepSet[i], parameters.SheepType, seedForSheep);
team.ClearPath();
team.SetPositions(parameters.PositionsOfShepherdsSet[i]);
var countFitness = CountFitness(team, sheep);
if (verbose)
{
Log(i, countFitness, seedForSheep, parameters.PositionsOfShepherdsSet[i], parameters.PositionsOfSheepSet[i]);
}
if (!double.IsNaN(fitness))
{
fitness += countFitness;
}
}
return(fitness);
}
private void StartHerding()
{
ButtonPause.Enabled = true;
ButtonResume.Enabled = false;
ButtonStepBack.Enabled = false;
ButtonStepForward.Enabled = false;
TransformPositions();
var parameters = (OptimizationParameters) new XmlSerializer(typeof(OptimizationParameters)).Deserialize(new StringReader(richTextBoxParameters.Text));
if (checkBoxRandom.Checked)
{
parameters.PositionsOfShepherds = parameters.PositionsOfShepherds.Randomize(0, 400).ToList();
parameters.PositionsOfSheep = parameters.PositionsOfSheep.Randomize(0, 400).ToList();
}
var sheep = AgentFactory.GetSheep(parameters.PositionsOfSheep, parameters.SheepType, parameters.SeedForRandomSheepForBest);
var shepherds = richTextBoxShepherds.Text.Split('\n')
.Where(x => string.IsNullOrEmpty(x) == false)
.Select(x => repository.LoadShepherd(x));
var team = TeamFactory.GetNotIdenticalTeam(shepherds.Cast <ThinkingAgent>().ToList());
team.Resize(parameters.PositionsOfShepherds.Count());
team.SetPositions(parameters.PositionsOfShepherds);
world = new ViewableWorld(
HerdingX,
HerdingY,
checkBoxAnimationMode.Checked ? MilisecondsBetweenSteps : 0,
team,
sheep);
world.Start(parameters.TurnsOfHerding);
paint = true;
}