private StackPanel InitGeneticSettings()
{
// Population
var populationValidity = StringExtensions.IsInt().And(StringExtensions.InRange(2, 10000));
var updatePopulation = new Action <string>(str => GeneticSettings = GeneticSettings.WithPopulation(int.Parse(str)));
var populationContainer = HorizontalContainerStrecherd.Create()
.AddLeft(TextBlockCreator.RegularTextBlock("Population").WithBullet())
.AsDock(InteractiveTextBox.Create(GeneticSettings.Population.ToString(), populationValidity, updatePopulation, Dispatcher));
// Mutation Rate
var mutationRateValidity = StringExtensions.IsDouble().And(StringExtensions.InRange(0, 1));
var updateMutationRate = new Action <string>(str => GeneticSettings = GeneticSettings.WithMutationRate(double.Parse(str)));
var mutationRateContainer = HorizontalContainerStrecherd.Create()
.AddLeft(TextBlockCreator.RegularTextBlock("Mutation Rate").WithBullet())
.AsDock(InteractiveTextBox.Create(this.GeneticSettings.MutationRate.ToString(), mutationRateValidity, updateMutationRate, Dispatcher));
// Elitism Rate
var elitismRateValidity = StringExtensions.IsDouble().And(StringExtensions.InRange(0, 1));
var updateElitismRate = new Action <string>(str => GeneticSettings = GeneticSettings.WithMutationRate(double.Parse(str)));
var elitismRateContainer = HorizontalContainerStrecherd.Create()
.AddLeft(TextBlockCreator.RegularTextBlock("Elitism Rate").WithBullet())
.AsDock(InteractiveTextBox.Create(this.GeneticSettings.ElitismRate.ToString(), elitismRateValidity, updateElitismRate, Dispatcher));
// New Genes Rate
var newGenesRateValidity = StringExtensions.IsDouble().And(StringExtensions.InRange(0, 1));
var updateNewGenesRate = new Action <string>(str => GeneticSettings = GeneticSettings.WithMutationRate(double.Parse(str)));
var newGenesRateContainer = HorizontalContainerStrecherd.Create()
.AddLeft(TextBlockCreator.RegularTextBlock("New Genes Rate").WithBullet())
.AsDock(InteractiveTextBox.Create(this.GeneticSettings.NewGenesRate.ToString(), newGenesRateValidity, updateNewGenesRate, Dispatcher));
var title = TextBlockCreator.TitleTextBlock("Genetic Settings");
return(GuiExtensions.CreateStackPanel(title, populationContainer, mutationRateContainer, elitismRateContainer, newGenesRateContainer));
}
/// <summary>
/// Gets the fitness of the individual
/// </summary>
public override float fitness()
{
float f6 = distanceMade * 15f;
float f7 = -accumulatedDistanceFromRoutePosition / 4;
return(GeneticSettings.normalizeFitness(f6 + f7));
}
public ListedGeneticSettingsGUI(SnakeAISettings snakeAISettings, bool canEdit) : base(canEdit)
{
this.snakeAISettings = snakeAISettings;
geneticSettings = snakeAISettings.GeneticSettings;
CreateItems();
AddSettingItems();
}
/// <summary>
/// Gets the fitness of the individual
/// </summary>
public override float fitness()
{
float f1 = distanceMade * 15f;
float f2 = -accumulatedDistanceFromRoutePosition / 5;
return(GeneticSettings.normalizeFitness(f1 + f2));
}
public SettingsGUI(GeneticSettings geneticSettings, NetworkSettings networkSettings, SnakeSettings snakeSettings)
{
this.geneticSettings = geneticSettings;
this.networkSettings = networkSettings;
this.snakeSettings = snakeSettings;
InitializeComponent();
}
/// <summary>
/// Kill the individual
/// </summary>
/// <param name="fullFitness">indicates if the drone died for natural death or not</param>
public void die(bool fullFitness)
{
if (GeneticSettings.hasToBeSaved(id) && fullFitness)
{
((GAmanager)father).addDataToDs(new float[] { getAge(), fitness() });
}
Destroy(spawnedWaypoint);
Destroy(this.gameObject);
}
private void RefreshGenetic(string name, int index, GeneticSettings settings)
{
AlgorithmOptionGenetic alg = new AlgorithmOptionGenetic(name, index, ConvertToViewModelSettings(settings));
alg.Changed += new EventHandler <AlgorithmOptionChangedEventArgs>(AlgorithmOption_Changed);
AlgorithmOptions.Add(alg);
AlgorithmElements.Add(alg);
UpdateGeneticSettings(alg.Index);
}
public SettingsGUI(SnakeAISettings snakeAISettings)
{
this.snakeAISettings = snakeAISettings;
this.geneticSettings = snakeAISettings.GeneticSettings;
this.networkSettings = snakeAISettings.NetworkSettings;
this.snakeSettings = snakeAISettings.SnakeSettings;
StartPosition = FormStartPosition.CenterScreen;
InitializeComponent();
}
public void CreateGenetic()
{
NewModel();
GeneticSettings settings = _model.CreateGeneticAlgorithm();
Assert.AreEqual(1, _context.Algorithms.Count());
_visitorParam = new AlgorithmVisitorParam((x) => Assert.Fail(),
(x) => Assert.AreEqual(settings, x.Settings));
_visitorParam.Visit(_context.Algorithms[0].Element);
Assert.IsTrue(_context.AlgorithmsChanged);
}
public void TestInitialize()
{
_settings = new GeneticSettings
{
SelectionRate = 0.1,
AbsoluteSelection = 0.2,
MutationChance = 0.3,
StablePairWeight = 1,
GroupHappinessWeight = 2,
EgalitarianHappinessWeight = 3,
Size = 200,
Generations = 200
};
}
/// <summary>
/// Show replay of the given agent.
/// </summary>
/// <param name="agentToShow"></param>
/// <param name="geneticSettings"></param>
public void ViewAgent(Agent agentToShow, GeneticSettings geneticSettings)
{
networkSettings = (geneticSettings.FitnessCalculator as SnakeFitnessCalculator).NetworkSettings;
snakeSettings = (geneticSettings.FitnessCalculator as SnakeFitnessCalculator).SnakeSettings;
SnakeFitnessCalculator fitnessCalculator = geneticSettings.FitnessCalculator as SnakeFitnessCalculator;
FitnessCalculatorRecording recording = fitnessCalculator.RecordCalculation(agentToShow);
MilisecondsForm milisecondsForm = new MilisecondsForm();
milisecondsForm.ShowDialog();
speedMS = milisecondsForm.speedMS;
ShowPlay(recording);
}
private GeneticSettings MakeGeneticSettings(NetworkSettings networkSettings, SnakeSettings snakeSettings)
{
GeneticSettings geneticSettings = new GeneticSettings(ProgramSettings.POPULATION_SIZE,
networkSettings.numberOfWeights,
ProgramSettings.SELECTION_SIZE,
ProgramSettings.MUTATION_PROBABALITY_AGENT,
ProgramSettings.MUTATION_PROBABILITY_GENE,
ProgramSettings.RANDOM_GENERATOR,
new SnakeFitnessCalculator(networkSettings, snakeSettings),
ProgramSettings.MUTATION_METHOD,
ProgramSettings.SELECTION_METHOD,
ProgramSettings.CROSSOVER_METHOD,
ProgramSettings.AGENT_VIEWER,
ProgramSettings.TOP_K_AGENTS_COUNT);
return(geneticSettings);
}
private void UpdateGeneticAlgorithm(GeneticAlgorithm algorithm, IGeneticSettings settings)
{
GeneticSettings newSettings = new GeneticSettings
{
SelectionRate = settings.SelectionRate,
AbsoluteSelection = settings.AbsoluteSelection,
MutationChance = settings.MutationChance,
StablePairWeight = settings.StablePairWeight,
GroupHappinessWeight = settings.GroupHappinessWeight,
EgalitarianHappinessWeight = settings.EgalitarianHappinessWeight,
Size = settings.Size,
Generations = settings.Generations
};
algorithm.Settings = newSettings;
settings = newSettings;
Context.AlgorithmsChanged = true;
}
public GeneticSettings CreateGeneticAlgorithm()
{
GeneticSettings settings = new GeneticSettings
{
SelectionRate = 0.2,
AbsoluteSelection = 0.01,
MutationChance = 0.05,
StablePairWeight = 1,
GroupHappinessWeight = 0,
EgalitarianHappinessWeight = 0,
Size = 200,
Generations = 200
};
GeneticAlgorithm algorithm = new GeneticAlgorithm(Context.StableMarriage, settings);
Context.Algorithms.Add(new AlgorithmData
{
Name = "Genetikus Algoritmus",
Algorithm = algorithm,
Element = algorithm
});
Context.AlgorithmsChanged = true;
return(settings);
}
public void UpdateGeneticSettings(GeneticSettings geneticSettings)
{
GeneticSettings = geneticSettings;
}
public SnakeAISettings(GeneticSettings geneticSettings, NetworkSettings networkSettings, SnakeSettings snakeSettings)
{
GeneticSettings = geneticSettings;
NetworkSettings = networkSettings;
SnakeSettings = snakeSettings;
}
public ListedGeneticSettingsGUI(GeneticSettings geneticSettings, bool canEdit) : base(canEdit)
{
this.geneticSettings = geneticSettings;
CreateItems();
AddSettingItems();
}
/// <summary>
/// Creates a new genetic algorithm to solve a stable marriage problem.
/// </summary>
/// <param name="stableMarriage">The stable marriage to be solved</param>
/// <param name="settings">The settings of the genetic algorithm</param>
public GeneticAlgorithmBase(StableMarriage stableMarriage, GeneticSettings settings) : base(stableMarriage)
{
Settings = settings;
_random = new Random();
}
public GeneticAlgorithm(StableMarriage stableMarriage, GeneticSettings settings) : base(stableMarriage, settings)
{
}