private static float XDistToNextColumn(BirdGenome genome)
{
if (_facingCol == null)
{
return(0);
}
return((_facingCol.center.transform.position.x - genome.transform.position.x) / ColumnControl.instance.xColMaxDelta);
}
/// <summary>
/// The y difference between this object and the center of the facingCenter can
/// be negative.To normalize this value, a maxDelta is added.
/// </summary>
private static float YDistToNextColumn(BirdGenome genome)
{
float deltaY, maxDelta;
if (_facingCol == null)
{
return(0);
}
maxDelta = ColumnControl.instance.yColMaxDelta;
deltaY = _facingCol.center.transform.position.y - genome.transform.position.y;
return((deltaY + maxDelta) / (2 * maxDelta));
}
private void _InitPopulation()
{
_population = new Population(new Genome[_genomeCount], _mutationChance, _mutationVal);
for (int i = 0; i < _genomeCount; i++)
{
BirdGenome newOrganizm = Instantiate(_genomePrefab, transform).GetComponent <BirdGenome>();
newOrganizm.transform.position = transform.position;
newOrganizm.Id = i;
_birdGenomes[i] = newOrganizm;
_population.Genomes[i] = new Genome(
inputsNeuronsC: BirdGenome.inputs.Count,
hiddenNeuronsC: hiddenNeurons,
outputsC: 1,
weightRandomValue: RandomGenomeWeightsVals
);
}
}
void Awake()
{
myTarget = (BirdGenome)target;
}
/// <summary>
/// Creates an array of inputs (float values) between 0 and 1.
/// It actualy works even if the input values aren't normalized, but it
/// converges faster when the inputs are normalized.
/// </summary>
private static float[] GetNormalizedInputs(BirdGenome genome)
{
return(inputs.Select(f => f(genome)).ToArray());
}
