public static void TestGennetics2()
{
GenString2 target = new GenString2(
"Twas brillig, and the slithy toves did gyer and gimble in the wabe.");
GenString2 best = new GenString2("Hello");
Console.WriteLine("Target: " + target);
Fitness <GenString2> fit = delegate(GenString2 gs)
{
double dist = gs.Distance(target);
//return 1.0 / (dist + 1.0);
return(-dist);
};
EvolMonogen <GenString2> evol = new EvolMonogen <GenString2>(100, 0.1, fit);
evol.Initialise(best);
for (int i = 0; i < MAX_GEN; i++)
{
evol.Evolve();
evol.GetTopSpec(best);
double fitness = evol.TopFitness;
Console.WriteLine();
Console.WriteLine("Generation " + i + ": " + fitness);
Console.WriteLine(best);
//Thread.Sleep(500);
}
}
public static void RunEvolution()
{
var bmp = new System.Drawing.Bitmap(FILE_IN);
ImageSys img = new ImageSys(bmp);
Texture txt = new Interpolent(img, Intpol.Nearest);
var fitness = BuildFitness(txt);
EvolMonogen <CPPN> evolver = new EvolMonogen <CPPN>(50, 0.1, fitness);
CPPN best = new CPPN();
evolver.Initialise(best);
Renderor ren = new Renderor();
ImageSys output = new ImageSys(256, 256);
//img.BMP.Save(FILE_OUT + "test.png");
Console.WriteLine("Aproximating Image: " + FILE_IN);
for (int i = 0; i < MAX_GEN; i++)
{
evolver.Evolve();
evolver.GetTopSpec(best);
ren.Render(best, output);
string index = i.ToString("0000");
output.BMP.Save(FILE_OUT + index + ".png");
int nodes = best.NumNurons;
int axons = best.NumAxons;
double fit = evolver.TopFitness;
Console.WriteLine();
Console.WriteLine("Generation " + i + ": " + nodes + " " + axons + " " + fit);
}
}
