/// <summary>
/// Sets a predefined chromosome for the AIPlayer
/// </summary>
/// <param name="chromosome"></param>
public AIPlayer(Chromosome chromosome, AIPlayer parent1, AIPlayer parent2, NNMaker neuralNetworkMaker)
{
Parent1 = parent1;
Parent2 = parent2;
neuralNetwork = neuralNetworkMaker.MakeNeuralNetwork(chromosome);
Chromosome = chromosome;
fitness = -1;
}
public Simulation(AITrainableGame game, int populationSize = 100, double crossOverBredAmount = 0.5, double mutateAfterCrossoverAmount = 0.1,
double mutationRate = 0.05, int allowSinglePointCrossover = 1, int allowTwoPointCrossover = 1, int allowUniformCrossover = 1,
int offspringSelectionPolicy = 0, double initialMutation = 0.0, double initialSimilarity = 0.0, int mainDiversityMeasure = 0)
{
PopulationSize = populationSize;
CrossoverBredAmount = crossOverBredAmount;
MutateAfterCrossoverAmount = mutateAfterCrossoverAmount;
MutationRate = mutationRate;
AllowSinglePointCrossover = allowSinglePointCrossover == 1 ? true : false;
AllowTwoPointCrossover = allowTwoPointCrossover == 1 ? true : false;
AllowUniformCrossover = allowUniformCrossover == 1 ? true : false;
ReplacementRule = offspringSelectionPolicy;
InitialMutation = initialMutation;
InitialSimilarity = initialSimilarity;
DiversityMeasure = mainDiversityMeasure;
allowedCrossoverMethods = new List <CrossoverMethod>();
if (AllowSinglePointCrossover)
{
allowedCrossoverMethods.Add(new SinglePointCrossover());
}
if (AllowTwoPointCrossover)
{
allowedCrossoverMethods.Add(new TwoPointCrossover());
}
if (AllowUniformCrossover)
{
allowedCrossoverMethods.Add(new UniformCrossover());
}
switch (ReplacementRule)
{
case 0: offspringMerger = new NaiveReplacementRule(); break;
case 1: offspringMerger = new AncestorElitismNoExtinctionReplacementRule(); break;
case 2: offspringMerger = new AncestorElitismReplacementRule(); break;
case 3: offspringMerger = new SingleParentElitismReplacementRule(); break;
case 4: offspringMerger = new ExploreExploitT30ReplacementRule(); break;
case 5: offspringMerger = new ExploreExploitT20ReplacementRule(); break;
case 6: offspringMerger = new ExploreExploitT40ReplacementRule(); break;
case 7: offspringMerger = new ExploreExploitB30ReplacementRule(); break;
default: throw new Exception("Wrong offspring merge type: " + ReplacementRule);
}
diversityMeasure = diversityMeasures[0];
Game = game;
NeuralNetworkMaker = new SimpleNNMaker(game);
}
/// <summary>
/// Sets a predefined chromosome for the AIPlayer
/// </summary>
/// <param name="chromosome"></param>
public AIPlayer(Chromosome chromosome, NNMaker neuralNetworkMaker)
{
neuralNetwork = neuralNetworkMaker.MakeNeuralNetwork(chromosome);
Chromosome = chromosome;
fitness = -1;
}
/// <summary>
/// Makes a new individual with a random chromosome
/// </summary>
/// <param name="random">true if chromosome string should be random, false if no chromosome string should be made</param>
public AIPlayer(NNMaker neuralNetworkMaker)
{
Chromosome = new Chromosome(neuralNetworkMaker.ChromosomeLength());
neuralNetwork = neuralNetworkMaker.MakeNeuralNetwork(Chromosome);
fitness = -1;
}
