//Возвращает случайный родительский геном, один из двух
public static Genomes GetRandomParent(Genomes Parent_1, Genomes Parent_2)
{
if (Randomizer.NextDouble() > 0.5)
{
return(Parent_1);
}
else
{
return(Parent_2);
}
}
//Скрещиваем два старых генома для создания нового
private static Genomes MakeChild(Genomes Parent1, Genomes Parent2, GameState State)
{
//Создаем новый экземпляр класса Genomes, заполняем его значениями, зависящими от родительских геномов
Genomes Child = new Genomes();
Child.ID = Randomizer.NextDouble();
Child.NumberOfRowsCleared = GetRandomParent(Parent1, Parent2).NumberOfRowsCleared;
Child.WeightedHeight = GetRandomParent(Parent1, Parent2).WeightedHeight;
Child.CumulativeHeight = GetRandomParent(Parent1, Parent2).CumulativeHeight;
Child.RelativeHeight = GetRandomParent(Parent1, Parent2).RelativeHeight;
Child.NumberOfMissingBlocks = GetRandomParent(Parent1, Parent2).NumberOfMissingBlocks;
Child.Roughness = GetRandomParent(Parent1, Parent2).Roughness;
Child.GenomeRating = -1;
if (Randomizer.NextDouble() < State.MutationRate)
{
Child.WeightedHeight += Randomizer.NextDouble() * State.MutationStep * 2 - State.MutationStep;
}
if (Randomizer.NextDouble() < State.MutationRate)
{
Child.CumulativeHeight += Randomizer.NextDouble() * State.MutationStep * 2 - State.MutationStep;
}
if (Randomizer.NextDouble() < State.MutationRate)
{
Child.RelativeHeight += Randomizer.NextDouble() * State.MutationStep * 2 - State.MutationStep;
}
if (Randomizer.NextDouble() < State.MutationRate)
{
Child.NumberOfMissingBlocks += Randomizer.NextDouble() * State.MutationStep * 2 - State.MutationStep;
}
if (Randomizer.NextDouble() < State.MutationRate)
{
Child.NumberOfRowsCleared += Randomizer.NextDouble() * State.MutationStep * 2 - State.MutationStep;
}
if (Randomizer.NextDouble() < State.MutationRate)
{
Child.Roughness += Randomizer.NextDouble() * State.MutationStep * 2 - State.MutationStep;
}
return(Child);
}
public static void CreateFirstPopulation(GameState State)
{
//Мы заполняем нашу популяцию первоначальными геномами, генерируя их в конструкторе
for (int i = 0; i < State.SizeOfPopulation; i++)
{
Genomes Genome = new Genomes();
Genome.ID = Randomizer.NextDouble();
Genome.NumberOfRowsCleared = Randomizer.NextDouble() - State.MutationRate;
Genome.WeightedHeight = Randomizer.NextDouble() - State.MutationRate;
Genome.CumulativeHeight = Randomizer.NextDouble() - State.MutationRate;
Genome.RelativeHeight = Randomizer.NextDouble() - State.MutationRate;
Genome.NumberOfMissingBlocks = Randomizer.NextDouble() * State.MutationRate;
Genome.Roughness = Randomizer.NextDouble() - State.MutationRate;
State.ListOfGenomes.Add(Genome);
}
//Оцениваем первый геном
EvaluateNextGenome(State);
}
//Загружает оптимальный геном
public static void LoadOptimalPopulation(GameState State)
{
for (int i = 0; i < State.SizeOfPopulation; i++)
{
Genomes Genome = new Genomes();
Genome.ID = 1;
Genome.NumberOfRowsCleared = 0.22568649650722883;
Genome.WeightedHeight = 0.08679520494876472;
Genome.CumulativeHeight = 0.6152727732730796;
Genome.RelativeHeight = 0.15842464424735841;
Genome.NumberOfMissingBlocks = 0.15452215909537684;
Genome.Roughness = 0.021586109522043928;
Genome.GenomeRating = 100000;
State.ListOfGenomes.Add(Genome);
}
EvaluateNextGenome(State);
}
