public void CrossPopulation(GeneticPopulation population)
{
var count = population.Samples.Count;
var restCount = Convert.ToInt32(0.01 * count * _settings.Elitism);
if (restCount < 1)
restCount = 1;
var removeCount = count - restCount;
var minDeviation = Convert.ToInt32(0.01*byte.MaxValue*_settings.MutabilityMin);
var maxDeviation = Convert.ToInt32(0.01*byte.MaxValue*_settings.MutabilityMax)+1;
population.Samples.RemoveRange(restCount, removeCount);
for (var i = restCount; i < count; i++)
{
var parent1Index = _random.Next(0, restCount);
var parent2Index = _random.Next(0, restCount);
var parent1Percentage = Convert.ToByte(_random.Next(0, 101));
var childColor = population.Samples[parent1Index].Color.Blend(
population.Samples[parent2Index].Color, parent1Percentage);
if (_random.Next(0, 101) < _settings.Mutation)
{
childColor.Red += Convert.ToByte(_random.Next(minDeviation, maxDeviation));
childColor.Green += Convert.ToByte(_random.Next(minDeviation, maxDeviation));
childColor.Blue += Convert.ToByte(_random.Next(minDeviation, maxDeviation));
}
var child = new GeneticSample
{
Color = childColor,
DifferenceUnits = 0,
DifferencePercents = 0,
SimilarityPercents = 0,
SimilarityUnits = 0,
Age = 0
};
population.Samples.Add(child);
}
for(var i=0; i<restCount;i++)
{
population.Samples[i].Age++;
if (population.Samples[i].Age>=_settings.Age)
{
population.Samples[i] = GeneticSample.GetRandomGeneticSample(_random);
}
}
}
public static GeneticSample GetRandomGeneticSample(Random random)
{
var sample = new GeneticSample
{
DifferencePercents = 0,
DifferenceUnits = 0,
SimilarityPercents = 0,
SimilarityUnits = 0,
Color = new GeneticColor
{
Red = (byte)random.Next(byte.MinValue, byte.MaxValue + 1),
Green = (byte)random.Next(byte.MinValue, byte.MaxValue + 1),
Blue = (byte)random.Next(byte.MinValue, byte.MaxValue + 1)
},
Age = 0
};
return sample;
}