public void process(landscape e, Population p)
{
p.sort();
min = p.getFittness(0);
max = p.getFittness(p.size()-1);
mean = 0;
count = p.size();
for (int i = 0; i < p.size(); i++)
{
double fittness = p.getFittness(i);
mean += fittness;
/*
if (fittness < min)
{
min = fittness;
}
if (fittness > max)
{
max = fittness;
}
* */
}
med = p.getFittness(p.size() / 2);
mean /= (double)p.size();
}
private void button2_Click(object sender, EventArgs e)
{
if (seed == null) return;
int sampleSize = (int)SampSize.Value;
int mutate = (int)MapDivrg.Value;
List<List<List<Stat>>> stats = new List<List<List<Stat>>>();
for (int j = 0; j < sampleSize; j++)
{
stats.Add(new List<List<Stat>>());
for (int i = 0; i < mutate; i++)
{
Population pop = new Population(seed);
landscape map = new landscape(seed.home);
map.mutate(i + 1);
pop.setLandscape(map);
GA tempGA = new GA(pop);
stats[j].Add(tempGA.evolve());
}
}
string output = "";
for (int i = 0; i < stats[0].Count; i++){
for (int j = 0; j < sampleSize; j++)
{
output += stats[j][i].Count + ",";
}
output += Environment.NewLine;
}
fit.Text = output;
}
public GA(Population Pop)
{
if (r == null) r = new Random();
world = new landscape(Pop.home);
pop = new Population(Pop);
generation = 0;
targetSize = Pop.size();
stats = new List<Stat>(maxGeneration);
}
public Population(Population p)
{
dead = p.dead;
home = p.home;
indi = new List<Individual>(p.indi.Count);
for (int i = 0; i < p.indi.Count; i++)
{
indi.Add(p.get(i));
indi[i].setFittness(home);
}
}
public Population(int size, landscape e)
{
home = e;
dead = 0;
indi = new List<Individual>(size*2);
for (int i = 0; i < size; i++)
{
indi.Add(new Individual(home.size()));
indi[i].setFittness(home);
}
}
public GA()
{
System.Diagnostics.Debug.WriteLine("Initilizing invalid GA");
if(r == null)r = new Random();
world = new landscape(12);
pop = new Population(50, world);
generation = 0;
targetSize = pop.size();
stats = new List<Stat>(maxGeneration);
}
public landscape(landscape e)
{
r = new Random();
int size = e.size();
x = new int[size];
y = new int[size];
for (int i = 0; i < size; i++)
{
x[i] = e.getX(i);
y[i] = e.getY(i);
}
}
private void run_Click_1(object sender, EventArgs e)
{
int time;
landscape env = new landscape((int)CityCount.Value);
Population pop = new Population((int)setPopSize.Value, env);
ga = new GA(pop);
ga.mutationFactor = (int)setMutFact.Value;
seed = ga.pop;
time = ga.evolve().Count;
fit.Text = "" + time +'\n';
}
public void setLandscape(landscape e)
{
home = e;
updateFittness();
}
public void setFittness(landscape e)
{
fittness = 0;
int b = get(0);
for (int i = 1; i < genes.Length; i++)
{
int a = b;
b = get(i);
int dx = e.getX(a) - e.getX(b);
//dx = dx > 0 ? dx : -dx;
int dy = e.getY(a) - e.getY(b);
//dy = dy > 0 ? dy : -dy;
fittness += (Math.Sqrt((double)((dx * dx) + (dy * dy))));
}
}
public Stat(landscape e, Population p)
{
process(e, p);
}
