/// <summary>
///
/// </summary>
/// <param name="t"></param>
/// <param name="filename"></param>
public void outputTiling(Coverage t, string filename)
{
StreamWriter stream = new StreamWriter(filename, false, Encoding.ASCII);
stream.WriteLine("sep=,");
string[] temp = new string[Program.col+Program.nTiles];
for(int k=0; k<Program.nTiles;k++)
{
for (int k1 = 0; k1 < Program.nTiles; k1++)
{
temp[k1] = ' '.ToString();
}
for (int j = 0; j < Program.col; j++)
{
temp[Program.nTiles+j] = t.getGene(k,j).ToString();
}
stream.WriteLine(String.Join(",", temp));
}
temp = new string[Program.nTiles];
int i;
for (int j = 0; j < Program.rows; j++)
{
i = 0;
for (int k =0; k<Program.nTiles; k++)
{
temp[i] = t.getPheno(k,j).ToString();
i++;
}
stream.WriteLine(String.Join(",", temp));
}
stream.Close();
}
public override bool beterthan(Coverage c)
{
if (this.getFit() > c.getFit())
{
return true;
}
else
{
return false;
}
}
private bool checkBestSol(int l)
{
if (individual[l].getFit() > bestSol)
{
bestSol = individual[l].getFit();
bestIndividual = individual[l];
return true;
}
else
{
return false;
}
}
/// <summary>
/// Set a random individual to c
/// </summary>
/// <param name="c">Individual to integrate randomly in the population</param>
public void setRandom(Coverage c)
{
individual[Program.rnd.Next(popsize)] = c;
}
public virtual bool beterthan(Coverage c)
{
return false;
}
