static void Main()
{
// Setup our variables
const double ChanceToMutate = .003;
const int PopulationSize = 100;
const int GenerationsToRun = 50;
// Minimum fitness is the minimum value to be eligible for breeding.
const double MinimumFitness = 0.4;
// PromiscuityIndex is how many times a specific genotype is allowed to breed.
const int PromiscuityIndex = 3;
// this is determined by our target image size: 40 pixels by 40 pixels
const int GenomeSize = 1600;
// where we want to write our output to.
const string CurrentFolder = "LastRun";
// Used for getting our target phenotype and setting up a place to write our output
// data.
Console.WriteLine("Starting...");
Directory.CreateDirectory(CurrentFolder);
var bitmap = new Bitmap("selectionTarget.png");
var pic = new ImagePhenotype(bitmap);
var target = pic.Genotype;
var result = pic.Get();
result.Save(Path.Combine(CurrentFolder, "target.png"), ImageFormat.Png);
// The fitness test is the most important part. In this case, we are artificially
// selecting towards the target so we want genotypes that are similar to our target
// and only breed those.
Func<Genotype, double> fitnessTest = gene => gene.SimilarTo(target);
// Starting with a random population is good. If we're lucky, some of the randomness
// will have a high similarity towards our target.
var population = Generation.CreateRandomPopulation(PopulationSize, GenomeSize, ChanceToMutate);
// This is where the magic happens. We create a civilization with an artificial target
var civ = new ArtificialSelectionCivilization(population,
fitnessTest,
MinimumFitness,
GenerationsToRun,
PromiscuityIndex,
ChanceToMutate);
// All the running actually happens in this method. Everything else was just setup.
civ.Process();
// Now it's time to write out the results.
Console.WriteLine("writing total run...");
for (int index = 0; index < civ.Generations.Count; index++)
{
var generation = civ.Generations[index];
var bestMatch = generation.GetBestMatch(fitnessTest);
var phenotype = new ImagePhenotype(bestMatch);
var image = phenotype.Get();
var fitness = fitnessTest(bestMatch);
var filename = string.Format("{0}-{1}.png", index, fitness);
image.Save(Path.Combine(CurrentFolder, filename), ImageFormat.Png);
}
Console.WriteLine("Done");
Console.ReadLine();
}
static void Main()
{
// Setup our variables
const double ChanceToMutate = .003;
const int PopulationSize = 100;
const int GenerationsToRun = 50;
// Minimum fitness is the minimum value to be eligible for breeding.
const double MinimumFitness = 0.4;
// PromiscuityIndex is how many times a specific genotype is allowed to breed.
const int PromiscuityIndex = 3;
// this is determined by our target image size: 40 pixels by 40 pixels
const int GenomeSize = 1600;
// where we want to write our output to.
const string CurrentFolder = "LastRun";
// Used for getting our target phenotype and setting up a place to write our output
// data.
Console.WriteLine("Starting...");
Directory.CreateDirectory(CurrentFolder);
var bitmap = new Bitmap("selectionTarget.png");
var pic = new ImagePhenotype(bitmap);
var target = pic.Genotype;
var result = pic.Get();
result.Save(Path.Combine(CurrentFolder, "target.png"), ImageFormat.Png);
// The fitness test is the most important part. In this case, we are artificially
// selecting towards the target so we want genotypes that are similar to our target
// and only breed those.
Func <Genotype, double> fitnessTest = gene => gene.SimilarTo(target);
// Starting with a random population is good. If we're lucky, some of the randomness
// will have a high similarity towards our target.
var population = Generation.CreateRandomPopulation(PopulationSize, GenomeSize, ChanceToMutate);
// This is where the magic happens. We create a civilization with an artificial target
var civ = new ArtificialSelectionCivilization(population,
fitnessTest,
MinimumFitness,
GenerationsToRun,
PromiscuityIndex,
ChanceToMutate);
// All the running actually happens in this method. Everything else was just setup.
civ.Process();
// Now it's time to write out the results.
Console.WriteLine("writing total run...");
for (int index = 0; index < civ.Generations.Count; index++)
{
var generation = civ.Generations[index];
var bestMatch = generation.GetBestMatch(fitnessTest);
var phenotype = new ImagePhenotype(bestMatch);
var image = phenotype.Get();
var fitness = fitnessTest(bestMatch);
var filename = string.Format("{0}-{1}.png", index, fitness);
image.Save(Path.Combine(CurrentFolder, filename), ImageFormat.Png);
}
Console.WriteLine("Done");
Console.ReadLine();
}
