/// <summary>
/// Finds the worst individual thats actually alive
/// </summary>
/// <returns></returns>
public int findWorstAlive()
{
bool first = true;
int worstScore = 0;
int worstIndex = 0;
for (int i = 1; i < numInPop; i++)
{
Phenotype p = maps[i];
if (p.alive && first)
{
first = false;
worstScore = p.score;
worstIndex = i;
continue;
}
if (p.alive && p.score < worstScore)
{
worstScore = p.score;
worstIndex = i;
}
}
return(worstIndex);
}
/// <summary>
/// Search for dead individuals - replace them with living newborn ones
/// </summary>
public void breedPopulation(Random r)
{
listOfLiving = new int[Params.populationCnt];
countOfLiving = 0;
for (int i = 0; i < Params.populationCnt; i++)
{
if (getPhenotype(i).alive&& (!getPhenotype(i).newborn))
{
listOfLiving[i] = i;
countOfLiving++;
}
}
for (int i = 0; i < Params.populationCnt; i++)
{
if (!getPhenotype(i).alive)
{
int mum = r.Next(0, countOfLiving);
int dad = r.Next(0, countOfLiving);
mum = listOfLiving[mum];
dad = listOfLiving[dad];
Phenotype mumP = getPhenotype(mum);
Phenotype dadP = getPhenotype(dad);
Genotype ggg = makeGenome(mumP.genotype, dadP.genotype);
if (Params.mutationPercent > r.Next(0, 100))
{
mutate(ggg, r);
}
//checkDuplicateGenes(ggg);
maps[i] = new Phenotype(ggg, G.pop.generation);
}
}
}
public void showNum(int num)
{
Phenotype pt = G.pop.getPhenotype(num);
pt.show(G.form2.getPictureBox1());
Messageline1("Individual=" + num.ToString() + " Score = " + pt.score.ToString());
}
public Population(int numInPopZ, Random r)
{
numInPop = numInPopZ;
maps = new Phenotype[numInPop];
for (int i = 0; i < numInPop; i++)
{
Genotype g = new Genotype(r);
Phenotype p = new Phenotype(g, 0);
p.createPheno();
p.setScore();
maps[i] = p;
}
}
/// <summary>
/// Returns the index of the best individual and updates bestScore
/// </summary>
/// <returns></returns>
public int findBest()
{
Phenotype p = maps[0];
bestScore = p.score;
bestIndex = 0;
for (int i = 1; i < numInPop; i++)
{
p = maps[i];
if (p.score > bestScore)
{
bestIndex = i;
bestScore = p.score;
}
}
return(bestIndex);
}
private void button9_Click(object sender, EventArgs e)
{
G.init();
if (G.form2 == null)
{
G.form2 = new Form2();
}
G.form2.Show();
G.form2.Activate();
label4.Text = "Running";
Params.checkDuplicateGenes = checkBox2.Checked;
Params.checkDuplicateGenomes = Convert.ToInt32(textBox4.Text);
Params.mutationPercent = Convert.ToDouble(textBox3.Text);
G.mutationCount = 0;
G.dupGeneCount = 0;
G.dupGeneomeCount = 0;
G.rnd = new Random(Convert.ToInt32(textBox5.Text));
Params.dimX = Convert.ToInt32(textBox6.Text);
Params.dimY = Convert.ToInt32(textBox7.Text);
Params.maxRepeat = Convert.ToInt32(textBox8.Text);
Params.populationCnt = Convert.ToInt32(textBox9.Text);
Params.genotypeSize = Convert.ToInt32(textBox10.Text);
Genotype gt = new Genotype(G.rnd);
Phenotype pt = new Phenotype(gt, 0);
pt.show(G.form2.getPictureBox1());
G.pop = new Population(Params.populationCnt, G.rnd);
G.pop.unsetNewborn();
G.pop.generation = 0;
while (G.pop.generation < Convert.ToInt32(textBox2.Text) && !checkBox1.Checked)
{
G.pop.do1Generation();
int idx = G.pop.findBest();
showNum(idx);
label5.Text = G.pop.generation.ToString();
label13.Text = "Mutations :" + G.mutationCount.ToString();
label14.Text = "Duplicate genes fixed :" + G.dupGeneCount.ToString();
label15.Text = "Duplicate genomes fixed:" + G.dupGeneomeCount.ToString();
}
label4.Text = "Ended";
}