private void btnStart_Click(object sender, EventArgs e)
{
string crossMethod = "2";
string mutaMethod = "2";
try
{
crossMethod = cb_cross.SelectedItem.ToString();
}
catch (Exception)
{
}
try
{
mutaMethod = cb_mutation.SelectedItem.ToString();
}
catch (Exception)
{
}
scale = Convert.ToInt16(txtScale.Text);
this.Controls.RemoveByKey("board1");
this.board1 = new EVProject.Board1(scale);
this.board1.BorderStyle = System.Windows.Forms.BorderStyle.Fixed3D;
this.board1.Location = new System.Drawing.Point(350, 34);
this.board1.Name = "board1";
this.board1.Size = new System.Drawing.Size(467, 465);
this.board1.TabIndex = 4;
this.Controls.Add(this.board1);
GeneticAlgo geneticAlgo = new GeneticAlgo(scale);
List <Chromosome> initPopulation = GetInitialPopulation((int)txtPop.Value);
if (chkPorgress.Checked)
{
geneticAlgo.progress += new Progress(updateProgress);
}
progressBar1.Maximum = (int)txtGen.Value;
progressBar1.Value = 0;
geneticAlgo.DoMating(ref initPopulation, (int)txtGen.Value, (double)txtCrosProb.Value, (double)txtMutProb.Value, crossMethod, mutaMethod);
dgResults.Rows.Clear();
for (int i = 0; i < initPopulation.Count - 1; i++)
{
String sol = "| ";
for (int j = 0; j < scale; j++)
{
sol = sol + initPopulation[i].genes[j] + " | ";
}
dgResults.Rows.Add(new Object[] { sol, initPopulation[i].fitness });
}
this.Controls.RemoveByKey("board1");
this.board1 = new EVProject.Board1(scale);
this.board1.BorderStyle = System.Windows.Forms.BorderStyle.Fixed3D;
this.board1.Location = new System.Drawing.Point(350, 34);
this.board1.Name = "board1";
this.board1.Size = new System.Drawing.Size(467, 465);
this.board1.TabIndex = 4;
this.Controls.Add(this.board1);
board1.Genes = initPopulation[0].genes;
}
private List <Chromosome> GetInitialPopulation(int population)
{
List <Chromosome> initPop = new List <Chromosome>();
GeneticAlgo RandomGen = new GeneticAlgo(scale);
for (int i = 0; i < population; i++)
{
int[] geneScale = new int[scale];
for (int g = 0; g < geneScale.Length; g++)
{
geneScale[g] = g;
}
List <int> genes = new List <int>(geneScale); /*Board boyutuna göre for ile oluşturulcak*/
Chromosome chromosome = new Chromosome();
chromosome.genes = new int[scale]; /*boyutun sayısına göre dizi dinamik olcak*/
for (int j = 0; j < scale; j++) /*boyuta göre dinamikleştirilcek*/
{
int geneIndex = (int)(RandomGen.GetRandomVal(0, genes.Count - 1) + 0.5);
chromosome.genes[j] = genes[geneIndex];
genes.RemoveAt(geneIndex);
}
initPop.Add(chromosome);
}
return(initPop);
}