static void Main(string[] args)
{
Console.WriteLine("---------------------------");
Console.WriteLine("Evolutive XOR with population wrapper");
Console.WriteLine("---------------------------");
// EvoXOR.Run();
XORPopulation.Run();
// FactoryExample.Run();
}
// ==============================================
// Static runner
// ==============================================
public static void Run()
{
// Generate first population
XORPopulation pop = new XORPopulation();
// The record
float kingFitness = 0;
CerebroML.Cerebro king = BrainFactory.Create()
.WithWeightBiasAmplitude(10f)
.WithInput(2)
.WithLayer(2, LayerType.Tanh)
.WithLayer(1, LayerType.Sigmoid)
.Build();
// Iterate until the king has a good fitness
while (kingFitness < 0.999) // && generation < GENERATION_LIMT)
{
pop.Next();
kingFitness = pop.bestFitness;
king.SetGenome(pop.best);
// Write to the console the current king and the average fitness
if (pop.generationNumber % 250 == 0)
{
Console.WriteLine($"Gen {pop.generationNumber}");
Console.WriteLine($"Fitness: King- {kingFitness:0.00} AVG- {pop.GetAVGFitness():0.00}");
}
}
// Show the final results
if (king != null)
{
Console.WriteLine($"FINAL - Gen: {pop.generationNumber}");
Console.WriteLine($"Fitness: King- {kingFitness:0.00}");
Console.WriteLine($" - (0, 0) = {king.Run(new float[] { 0.0f, 0.0f })[0]:0.00}");
Console.WriteLine($" - (1, 0) = {king.Run(new float[] { 1.0f, 0.0f })[0]:0.00}");
Console.WriteLine($" - (0, 1) = {king.Run(new float[] { 0.0f, 1.0f })[0]:0.00}");
Console.WriteLine($" - (1, 1) = {king.Run(new float[] { 1.0f, 1.0f })[0]:0.00}");
}
}
