public static GeneticAI Combine(this GeneticAI aI, GeneticAI counterpart, int generation, int index, double mutationChance)
{
GeneticAI newAi = new GeneticAI(aI, false, generation, index);
Dictionary <string, object> settings = new Dictionary <string, object>(newAi.Settings);
if (random == null)
{
random = new Random();
}
double randomDouble = random.NextDouble();
foreach (KeyValuePair <string, object> setting in aI.Settings)
{
if (randomDouble < mutationChance)
{
settings[setting.Key] = settings[setting.Key].ChangeRandomly(1);
continue;
}
if ((randomDouble - mutationChance) / mutationChance < 0.5)
{
settings[setting.Key] = counterpart.Settings[setting.Key];
}
}
return(newAi);
}
public void PlayGeneration(bool firstGeneration)
{
Console.ForegroundColor = ConsoleColor.Gray;
Console.Write("\nPlaying");
for (int i = 0; i < players.Count; ++i)
{
if (i % (PLAYERCOUNT / 5) == 0)
{
Console.Write(".");
}
if (/*players[i].Wins == 0*/ true)
{
players[i].Wongames = 0;
Player opponent = GetOpponent();
players[i].Game = game;
opponent.Game = game;
game.Player1 = players[i];
game.Player2 = opponent;
for (int j = 0; j < GAMECOUNT; ++j)
{
game.Initialize();
game.PlayAGame(j % 2 == 0);
}
players[i].Wins = players[i].Wongames;
}
}
players = players.OrderBy(ai => ai.Wins).ToList();
players.Reverse();
if (firstGeneration)
{
bestAI = GetClone(players[0]);
}
else if (players[0].Wins > bestAI.Wins)
{
bestAI = GetClone(players[0]);
}
Console.Clear();
WriteStats();
HalfAndMutate(currentGeneration);
}
public void HalfAndMutate(int generation)
{
int count = players.Count;
players.RemoveRange(count / 2, count / 2);
for (int i = 0; i < count / 2; i++)
{
GeneticAI newAi = players[i].Combine(players[i != count / 2 - 1 ? i + 1 : 0], generation, currentIndex++, 0.4);
//if (/*i < count / 3*/ true)
//{
// GeneticAI newAI = new GeneticAI(players[i], true, generation, currentIndex++);
// newAI.RandomizeValues(0.7 + 0.6 * (i / ((double)count / 2)));
// players.Add(newAI);
// continue;
//}
players.Add(GetPlayer());
}
}
public GeneticAI(GeneticAI clone, bool clearValue, int generation, int index, bool randomize = false, double exponent = 1)
{
Name = clone.Name;
Generation = generation;
Index = index;
settingTags = new List <string>();
foreach (KeyValuePair <string, object> item in Settings)
{
settingTags.Add(item.Key);
}
if (!clearValue)
{
Wins = clone.Wins;
}
Settings = clone.Settings;
if (randomize)
{
RandomizeValues(exponent);
}
}
public EnhancedConverted(GeneticAI clone, bool clearValue, int generation, int index, bool randomize = false, double exponent = 1) : base(clone, clearValue, generation, index, randomize, exponent)
{
}
public GeneticAI GetClone(GeneticAI template)
{
return(new EnhancedConverted(template, false, currentGeneration, currentIndex++));
}
