internal void Update(Population population)
{
lblGenValue.Text = population.Generation.ToString();
lblBestValue.Text = population.FitnessStats.Best.ToString();
lblWorstValue.Text = population.FitnessStats.Worst.ToString();
lblAvgValue.Text = Math.Round(population.FitnessStats.Average, 2).ToString("0.00");
lblLastBest.Text = string.Format("({0})", population.FitnessStats.PreviousGenerationsBest.LastOrDefault());
lblLastWorst.Text = string.Format("({0})", population.FitnessStats.PreviousGenerationsWorst.LastOrDefault());
lblLastAvg.Text = string.Format("({0:0.00})", Math.Round(population.FitnessStats.PreviousGenerationsAverage.LastOrDefault(), 2));
}
public void Setup()
{
var weightCount = getNewBrain(SimpleSweeper.BrainInputs, SimpleSweeper.BrainOutputs).AllWeightsCount();
Population = new Population(new GeneticAlgorithm(Settings));
Population.Populate(Settings.SweeperCount, weightCount);
_sweepers = createSweepers(Settings.SweeperCount).ToList();
for (int i = 0; i < _sweepers.Count; i++)
{
_sweepers[i].Brain.UpdateGenome(Population.Genomes[i]);
}
_mines.AddRange(getMines(Settings.MineCount));
}
public void Update(Population population)
{
Image = new Bitmap(Width, Height);
var avgpoints = getGraphPoints(population.FitnessStats.PreviousGenerationsAverage);
var bestpoints = getGraphPoints(population.FitnessStats.PreviousGenerationsBest);
var worstpoints = getGraphPoints(population.FitnessStats.PreviousGenerationsWorst);
var graphHeight = (float)Height - 10;
var maxHeight = bestpoints.Max(x => x.Y);
var graphWidth = (float)(Width - 10);
var maxWidth = bestpoints.Count();
var yScale = graphHeight / maxHeight;
var xScale = graphWidth / maxWidth;
using (var graphics = Graphics.FromImage(Image))
{
if (avgpoints.Count() > 1)
{
drawGrid(graphics, population.FitnessStats.PreviousGenerationsBest.Max(), avgpoints, yScale, xScale);
using (var neutralPen = new Pen(_neutralColor))
{
drawGraphLine(graphics, avgpoints, neutralPen, yScale, xScale);
}
using (var bestPen = new Pen(_bestColor))
{
drawGraphLine(graphics, bestpoints, bestPen, yScale, xScale);
}
using (var worstPen = new Pen(_worstColor))
{
drawGraphLine(graphics, worstpoints, worstPen, yScale, xScale);
}
}
}
Image.RotateFlip(RotateFlipType.RotateNoneFlipY);
}
public void Setup()
{
_sweepers = createSweepers(Settings.SweeperCount).ToList();
Population = new Population(new GeneticAlgorithm(Settings));
Population.Populate(_sweepers.Select(x => x.Brain.Genome));
createNewObjects();
}
public void Setup()
{
_sweepers = createSweepers(Settings.SweeperCount - 1).ToList();
Population = new Population(new GeneticAlgorithm(Settings));
Population.Populate(_sweepers.Select(x => x.Brain.Genome));
Population.Genomes.Add(new EliteSweeper2070Genome());
_mines.AddRange(getMines(Settings.MineCount));
}
