private void button1_Click(object sender, EventArgs e)
{
richTextBox1.Text = "";
desc.Clear();
alg = new PGA();
OptimizationModel optModel = new OptimizationModel(func);
AlgorithmSettings settings = new AlgorithmSettings()
{
InitialLoadType = (InitialLoadType)comboBox1.SelectedItem,
OptModel = optModel,
InitialPointCount = (int)numericUpDown1.Value,
SelectionType = (SelectionType)comboBox2.SelectedItem,
EndCondition = (EndCondition)comboBox3.SelectedItem,
MaxGenerationCount = (int)numericUpDown2.Value,
SurvivedCount = (int)numericUpDown3.Value,
MutationChance = (double)numericUpDown4.Value,
CrossingGenNumber = (int)numericUpDown5.Value,
Tolerance = (double)numericUpDown6.Value,
MutationChanceAfterCrossing = (double)numericUpDown7.Value,
MutationType = (MutationType)comboBox4.SelectedItem
};
alg.Run(settings);
DrawRezult(alg);
WriteRezult(alg);
}
private void backgroundWorker1_DoWork(object sender, DoWorkEventArgs e)
{
int progress = 0;
optrez.Clear();
finalRez.Clear();
alg = new PGA();
OptimizationModel optModel = new OptimizationModel(func);
EnumConverter InitialLoadTypeCollection = new EnumConverter(typeof(InitialLoadType));
EnumConverter EndConditionTypeCollecton = new EnumConverter(typeof(EndCondition));
EnumConverter MutationTypeCollecton = new EnumConverter(typeof(MutationType));
EnumConverter SelectionTypeCollection = new EnumConverter(typeof(SelectionType));
foreach (InitialLoadType il in InitialLoadTypeCollection.GetStandardValues())
{
foreach (EndCondition ec in EndConditionTypeCollecton.GetStandardValues())
{
foreach (MutationType mt in MutationTypeCollecton.GetStandardValues())
{
foreach (SelectionType st in SelectionTypeCollection.GetStandardValues())
{
double[] f1m = new double[(int)numericUpDown8.Value];
double[] f2m = new double[(int)numericUpDown8.Value];
double[] fm = new double[(int)numericUpDown8.Value];
double[] x1m = new double[(int)numericUpDown8.Value];
double[] x2m = new double[(int)numericUpDown8.Value];
for (int i = 0; i < (int)numericUpDown8.Value; i++)
{
AlgorithmSettings settings = new AlgorithmSettings()
{
InitialLoadType = il,
OptModel = optModel,
InitialPointCount = (int)numericUpDown1.Value,
SelectionType = st,
EndCondition = ec,
MaxGenerationCount = (int)numericUpDown2.Value,
SurvivedCount = (int)numericUpDown3.Value,
MutationChance = (double)numericUpDown4.Value,
CrossingGenNumber = (int)numericUpDown5.Value,
Tolerance = (double)numericUpDown6.Value,
MutationChanceAfterCrossing = (double)numericUpDown7.Value,
MutationType = mt
};
alg.Run(settings);
double x1 = alg.Best.X1;
double x2 = alg.Best.X2;
double f1 = alg.Best.F;
double f2 = alg.CallCount;
double f = GetCriterion(f1, f2);
f1m[i] = f1;
f2m[i] = f2;
fm[i] = f;
x1m[i] = x1;
x2m[i] = x2;
optrez.Add(new OptRezult()
{
I = il,
E = ec,
S = st,
M = mt,
F1 = f1,
F2 = f2,
X1 = x1,
X2 = x2,
F = f
});
}
progress++;
backgroundWorker1.ReportProgress(progress * 100 / 24);
finalRez.Add(new OptRezult()
{
I = il,
E = ec,
S = st,
M = mt,
X1 = x1m.Average(),
X2 = x2m.Average(),
F1 = f1m.Average(),
F2 = f2m.Average(),
F = fm.Average()
});
}
}
}
}
}
private void WriteRezult(PGA alg)
{
int i = 0;
int[] clr = new int[100];
foreach (var item in alg.Generations)
{
WriteLine(string.Format("Покаление {0}", item.Id));
WriteLine("На входе");
if (item.InitialChromosomes != null)
foreach (var ch in item.InitialChromosomes)
{
WriteChomosome(ch);
}
WriteLine("Первая мутация");
if (item.FirstMutation != null)
foreach (var ch in item.FirstMutation)
{
WriteChomosome(ch.Key, "Родитель");
WriteChomosome(ch.Value, "Потомок");
WriteLine();
}
WriteLine("Перед скрещиванием");
if (item.AfterFirstMutation != null)
foreach (var ch in item.AfterFirstMutation)
{
WriteChomosome(ch);
}
WriteLine("Пары1");
if (item.Pairs1 != null)
foreach (var ch in item.Pairs1)
{
WriteChomosome(ch.Chr1);
WriteChomosome(ch.Chr2);
WriteLine();
}
WriteLine("Победители в парах1");
if (item.Winners1 != null)
foreach (var ch in item.Winners1)
{
WriteChomosome(ch);
}
WriteLine("Пары2");
if (item.Pairs2 != null)
foreach (var ch in item.Pairs2)
{
WriteChomosome(ch.Chr1);
WriteChomosome(ch.Chr2);
WriteLine();
}
WriteLine("Победители в парах2");
if (item.Winners2 != null)
foreach (var ch in item.Winners2)
{
WriteChomosome(ch);
}
WriteLine("Пары для генетических операций");
if (item.PairsForGeneticOperation != null)
foreach (var ch in item.PairsForGeneticOperation)
{
WriteChomosome(ch.Chr1);
WriteChomosome(ch.Chr2);
WriteLine();
}
WriteLine("Результат генетических операций");
if (item.GeneticOperationRezults != null)
foreach (var ch in item.GeneticOperationRezults)
{
WriteChomosome(ch);
}
WriteLine("Все хромосомы покаления");
if (item.AllFinishChromosome != null)
foreach (var ch in item.AllFinishChromosome)
{
WriteChomosome(ch);
}
WriteLine("Лучшие");
if (item.Output != null)
foreach (var ch in item.Output)
{
WriteChomosome(ch);
}
WriteLine("Лучшая");
WriteChomosome(item.BestChromosome);
i++;
clr[i] = richTextBox1.Text.Length;
}
WriteLine(string.Format("Количество вычислений целевой ф-и {0}", alg.CallCount));
WriteLine("Лучшая хромосома");
WriteChomosome(alg.Best);
for (int j = 0; j < i; j++)
{
richTextBox1.Select(clr[j], clr[j + 1] - clr[j]);
richTextBox1.SelectionColor = pens[j].Color;
}
}
private void DrawRezult(PGA alg)
{
numericUpDown8.Maximum = alg.Generations.Count - 1;
desc.Clear();
desc.DrawMesh(alg.InitialMesh, Pens.Red);
for (int i = 0; i < alg.Generations.Count; i++)
{
if (alg.Generations[i].AllFinishChromosome != null)
foreach (var item in alg.Generations[i].AllFinishChromosome)
{
SolidBrush b = new SolidBrush(pens[item.GId].Color);
desc.AddCircle((float)item.X1, (float)item.X2, 3, pens[item.GId], true);
desc.AddText(item.GId + "." + item.Id, (float)item.X1, (float)item.X2, SystemFonts.SmallCaptionFont, b);
}
}
desc.Update();
}