public static void TestGennetics4()
{
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;
dist = (5000.0 - dist) / 5000.0;
if (dist < 0.0001)
{
dist = 0.0001;
}
return(dist);
};
EvolSpecies <GenString2> evol = new EvolSpecies <GenString2>(500, 0.1, fit);
evol.Initialise(best);
for (int i = 0; i < MAX_GEN; i++)
{
evol.Evolve();
evol.GetTopSpec(best);
double fitness = evol.TopFitness;
int species = evol.NumSpecies;
Console.WriteLine();
Console.WriteLine("Generation " + i + ": " + fitness);
Console.WriteLine("Num Species: " + species);
Console.WriteLine("Threshold: " + evol.Threshold);
Console.WriteLine(best);
if (fitness >= 0.996)
{
Console.WriteLine();
Console.WriteLine("#############################################################");
Console.WriteLine("TARGET FITNESS OF > 0.996 REACHED!!!");
Console.WriteLine("#############################################################");
Console.WriteLine();
Console.WriteLine("Press any key...");
Console.ReadKey(true);
break;
}
//Thread.Sleep(500);
}
}
public static void RunEvolution2()
{
var bmp = new System.Drawing.Bitmap(FILE_IN);
ImageSys img = new ImageSys(bmp);
Texture txt = new Interpolent(img, Intpol.Nearest);
//var fitness = BuildFitness(txt);
Console.WriteLine("Collecting Sample Points...");
ControlPoints.BuildData();
Fitness <CPPN> fitness = x => ControlPoints.GradeImage(x);
EvolSpecies <CPPN> evolver = new EvolSpecies <CPPN>(500, 1.0, fitness); //100, 0.1
CPPN best = new CPPN();
CPPN proto = new CPPN();
Renderor ren = new Renderor();
ImageSys output = new ImageSys(256, 256);
//img.BMP.Save(FILE_OUT + "test.png");
Console.WriteLine("Aproximating Image: " + FILE_IN);
evolver.Initialise(best);
for (int i = 0; i < MAX_GEN; i++)
{
Console.WriteLine();
string index = i.ToString("0000");
Console.WriteLine("Rendering Best Fit...");
ren.Render(best, output);
output.BMP.Save(FILE_OUT + "A" + index + ".png");
Console.WriteLine("Rendering Random Species...");
ren.Render(proto, output);
output.BMP.Save(FILE_OUT + "B" + index + ".png");
int nodes = best.NumNurons;
int axons = best.NumAxons;
double fit = evolver.TopFitness;
Console.WriteLine();
Console.WriteLine("Generation " + i + ": " + nodes + " " + axons + " " + fit);
Console.WriteLine("Num Species: " + evolver.NumSpecies);
Console.WriteLine("Threshold: " + evolver.Threshold.ToString("0.00"));
////we cannot have more species than there are indvidual organisms
//if (evolver.NumSpecies > 100) throw new Exception();
evolver.Evolve();
evolver.GetTopSpec(best);
evolver.GetRandProto(proto);
}
}
public static void RunTestAdder()
{
TestAdder network = new TestAdder();
Fitness <TestAdder> fit = x => x.RunTests();
EvolSpecies <TestAdder> evol = new EvolSpecies <TestAdder>(500, 1.0, fit);
evol.Initialise(network);
TestAdder best = new TestAdder();
for (int i = 0; i < MAX_GEN; i++)
{
evol.Evolve();
evol.GetTopSpec(best);
double fitness = evol.TopFitness;
int species = evol.NumSpecies;
int nodes = best.NumNurons;
int axons = best.NumAxons;
double fx = evol.TopFitness;
Console.WriteLine();
Console.WriteLine("Generation " + i + ": " + nodes + " " + axons + " " + fx);
Console.WriteLine("Num Species: " + evol.NumSpecies);
Console.WriteLine("Threshold: " + evol.Threshold.ToString("0.00"));
if (fitness > 0.999)
{
Console.WriteLine();
Console.WriteLine("#############################################################");
Console.WriteLine("TARGET FITNESS REACHED!!!");
Console.WriteLine("#############################################################");
Console.WriteLine();
best.ReduceNetwork();
nodes = best.NumNurons;
axons = best.NumAxons;
fx = fit(best);
Console.WriteLine("Final Network: " + nodes + " " + axons + " " + fx);
Console.WriteLine("Press any key...");
Console.ReadKey(true);
break;
}
//Thread.Sleep(500);
}
}
public static void TestGennetics3()
{
GenString target = new GenString(
"Twas brillig, and the slithy toves did gyer and gimble in the wabe.");
GenString best = new GenString("Hello");
Console.WriteLine("Target: " + target);
Fitness <GenString> fit = delegate(GenString gs)
{
double dist = gs.Distance(target);
//return 1.0 / (dist + 1.0);
//return -dist;
dist = 100.0 - dist;
if (dist < 0.1)
{
dist = 0.1;
}
return(dist);
};
EvolSpecies <GenString> evol = new EvolSpecies <GenString>(1000, 0.1, fit);
evol.Initialise(best);
for (int i = 0; i < MAX_GEN; i++)
{
evol.Evolve();
evol.GetTopSpec(best);
double fitness = evol.TopFitness;
int species = evol.NumSpecies;
Console.WriteLine();
Console.WriteLine("Generation " + i + ": " + fitness);
Console.WriteLine("Num Species: " + species);
Console.WriteLine(best);
//Thread.Sleep(500);
}
}
