public override void SetPreprocess()
{
util = new PDIGeneticUtil();
specificAdam = null;
StagnationCounter = 0;
if (imagen != null) //imagen = new Img();
{
imagen.Dispose();
}
imagen = new Img();
repairCounter = 0;
GADataSet.DataRow[] datas = (GADataSet.DataRow[])ProblemData;
GADataSet.DataRow data = datas.FirstOrDefault(o => o.ProblemID == this.PROBLEMID);
imagen.path = data.Label1;
int scale = 6;
imagen.GetImg(data.Label2, scale);
imagen.GetImgToCompare(data.Label3, scale);
// CvInvoke.DetailEnhance(imagen.UIOne.Mat, imagen.UIOne.Mat);
// CvInvoke.DetailEnhance(imagen.UITwo.Mat, imagen.UITwo.Mat);
imagen.UITwo.CountNonzero();
Image <Rgba, byte> uno = imagen.UIOne;
Image <Rgba, byte> dos = imagen.UITwo;
CvInvoke.Imshow("ONE", uno);
CvInvoke.Imshow("TWO", dos);
double cm = imagen.OneMoments[0].GetCentralMoment(1, 1);
double sm = imagen.OneMoments[0].GetSpatialMoment(1, 1);
Img.DisposeArrayOfImages(ref all);
all = new List <object>();
// horizontalCounter = 1;
}
public override void GACompleted <T>(ref GADataSet.SolutionsRow r, ref T s)
{
try
{
GADataSet.StringsRow str = s as GADataSet.StringsRow;
// r.Chromosome //= s.Chromosome = System.IO.File.ReadAllBytes(scriptFile + ".gif");
GADataSet.DataRow aux = r.DataAxuliar.FirstOrDefault();
// Bitmap b = mat.Bitmap;
// escaledUI = original.Resize(w / scale, h / scale, Emgu.CV.CvEnum.Inter.LinearExact, true);
bool ok = r.IsChromosomeNull();
ok = ok && aux.ExternalDataObject != null;
if (ok)
{
object o = aux.ExternalDataObject;
string texto = r.Genotype + " F=" + Decimal.Round(Convert.ToDecimal(r.Fitness), 2).ToString();
r.Chromosome = Img.ExtractImage(ref o, texto);
all.Add(o);
// im.Dispose();
}
//mat.ToImage<Rgba,byte>().ToJpegData();
}
catch (Exception ex)
{
}
// r.Chromosome = imagen.expandedEscaledUIToCompare.Resize(mat.Width / 5, mat.Height / 5, Emgu.CV.CvEnum.Inter.LinearExact).ToJpegData();
}
/// <summary>
/// BASIC CALCULATION NECESSARY FOR FITNESS
/// </summary>
/// <param name="r"></param>
/// <param name="c"></param>
public override void GenerationRan(ref GADataSet.SolutionsRow r, ref IChromosome chromosome)
{
GADataSet.DataRow d = r.DataAxuliar.NewDataRow();
r.DataAxuliar.AddDataRow(d);
try
{
restart:
Gene[] genes = chromosome.GetGenes();
object[] fitnessMatrixCounts = FitnessRawEvaluator(r.IsChromosomeNull(), ref chromosome);
//matrix aqui
d.ExternalDataObject = fitnessMatrixCounts[1];
//fitness aqui
double fitness = (double)fitnessMatrixCounts[0];
r.Fitness = fitness;
if (fitnessMatrixCounts[2] != null)
{
SystemException ex = fitnessMatrixCounts[2] as SystemException;
r.Okays = ex.Message;
}
else
{
int rotNew = (int)genes[0].Value;
int rotOld = rotNew;
bool changeGene = false;
if (this.GARow != null)
{
if (!this.GARow.IsFitnessNull())
{
double comparableFitness = this.GARow.Fitness;
if (fitness <= comparableFitness)
{
StagnationCounter++;
}
else
{
StagnationCounter = 0;
}
if (StagnationCounter > 15)
{
}
else if (StagnationCounter > 10)
{
if (rotNew + 180 <= 180)
{
rotNew += 180;
}
else if (rotNew - 180 >= -180)
{
rotNew -= 180;
}
changeGene = true;
}
else if (StagnationCounter > 5)
{
if (rotNew + 90 <= 180)
{
rotNew += 90;
}
else if (rotNew - 90 >= -180)
{
rotNew -= 90;
}
changeGene = true;
}
if (changeGene)
{
chromosome.ReplaceGene(0, new Gene(rotNew));
StagnationCounter = 0;
goto restart;
}
decimal[] counts = fitnessMatrixCounts[3] as decimal[];
if (counts != null)
{
r.Okays = string.Concat(counts.SelectMany(o => Decimal.Round(o, 2).ToString() + ","));
}
if (repairCounter == 10)
{
// this.util.MaxTX = Convert.ToInt32(this.util.MaxTX * 0.95);
repairCounter = 0;
}
if (repairCounter == 10)
{
// this.util.MaxTY = Convert.ToInt32(this.util.MaxTY * 0.95);
repairCounter = 0;
}
this.util.readjustSearchSpace(ref genes, fitness, comparableFitness);
}
}
if (GA.GenerationsNumber == 20 && specificAdam != null)
{
// GA.Population.CurrentGeneration.Chromosomes.RemoveAt(GA.Population.CurrentGeneration.Chromosomes.Count() - 1);
//
GA.Population.CurrentGeneration.Chromosomes.Add(specificAdam);
// GA.Population.CreateNewGeneration(GA.Population.CurrentGeneration.Chromosomes);
// GA.Crossover.Cross(GA.Population.CurrentGeneration.Chromosomes);
// GA.BestChromosome.Fitness = specificAdam.Fitness;
// GA.Population.CurrentGeneration.BestChromosome.ReplaceGenes(0,specificAdam.GetGenes());
//
// GA.Population.CurrentGeneration.Chromosomes.RemoveAt(GA.Population.CurrentGeneration.Chromosomes.Count() - 1);
//Add(specificAdam);
// GA.Population.CurrentGeneration.Chromosomes.Add(specificAdam);
// chromosome.ReplaceGenes(0, specificAdam.GetGenes());
// chromosome.Fitness = specificAdam.Fitness;
// chromosome = specificAdam;
}
}
r.Genotype = Aid.SetStrings(r.GenesAsInts, " | ", 0, "0");
}
catch (Exception ex)
{
r.Okays = ex.Message;// + ex.InnerException?.Message;
}
}
