private void Start() { //Assign The References Game_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GameManager>(); Genetic_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GeneticManager>(); MainCamera = Camera.main.GetComponent <CameraFollow>(); }
void Start() { Genetic_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GeneticManager>(); Game_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GameManager>(); NN = GetComponent <NeuralNetwork>(); MaxGenerations = Bars.Length; }
private void Start() { player = GameObject.FindObjectOfType <Player>(); inv = GameObject.FindObjectOfType <Inventory>(); //genCanvas = this.transform.Find("Genetics").gameObject; genManager = GameObject.FindObjectOfType <GeneticManager>(); }
private void Awake() { if (geneticManager == null) { geneticManager = this; } }
public void TestLengthofGenerationRun() { var size = Configuration.GenerationSize(); List <Chromosome> inputGeneration = new List <Chromosome>(); for (int i = 0; i < Configuration.GenerationSize(); i++) { inputGeneration.Add(new Chromosome()); } GeneticManager geneticManager = new GeneticManager(); var watch = new System.Diagnostics.Stopwatch(); watch.Start(); inputGeneration = geneticManager.ProcessGeneration(inputGeneration); watch.Stop(); var time = watch.ElapsedMilliseconds; Assert.AreEqual(Configuration.GenerationSize(), inputGeneration.Count); }
static void Main(string[] args) { Console.WriteLine($"원본 이미지 주소 : "); path = Console.ReadLine(); Console.WriteLine("유전자 이미지 저장할 경로 : "); savePath = Console.ReadLine(); Console.WriteLine("유전자 csv 파일 저장할 경로 : "); csvPath = Console.ReadLine(); Setting(); Origin = ImageConv(path); GeneticManager genetic = new GeneticManager(Origin); genetic.BestGenImage += Genetic_BestGenImage; genetic.Run(); for (; ;) { median = bool.TryParse(Console.ReadLine(), out bool r) ? r : median; Console.WriteLine($"Median 값 : {median} 으로 변경됨."); } }
private void Start() { //Assign The References Game_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GameManager>(); Genetic_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GeneticManager>(); rb = GetComponent <Rigidbody>(); Game_Manager.AddCar(this); }
private void Awake() { if (singleton == null) { singleton = this; } CalculateWeightAndBiasesNumber(); }
private void Start() { Genetic_Manager = GetComponent <GeneticManager>(); display = GameObject.FindGameObjectWithTag("Display").GetComponent <InformationDisplay>(); //Calculate Track Length TrackLenght = CalculateTrackLength(); }
void Start() { target = Waypoints.points[0]; gameManager = GameObject.FindGameObjectWithTag("GameController"); waveSpawner = gameManager.GetComponent <WaveSpawner>(); geneManager = gameManager.GetComponent <GeneticManager>(); chromo = geneManager.CreateChromosome(); AssignStats(); }
private void Awake() { instance = this; index = 0; //alive = populationPerGeneration; gen.text = generation + ""; Spawn(populationPerGeneration); naturallySelected = 0; genePool = new List <int>(); }
// Awake is called when the script instance is being loaded private void Awake() { if (!Instance) { Instance = this; } else { Destroy(this); } }
private void Awake() { if (instance == null) { instance = this; } else { DestroyImmediate(this); } }
public void StartTest() { var config = new Mock <IOptimizerConfiguration>(); config.Setup(c => c.PopulationSize).Returns(2); var fitness = new Mock <OptimizerFitness>(config.Object); fitness.Setup(f => f.Evaluate(It.IsAny <IChromosome>())).Returns(-10).Verifiable(); var unit = new GeneticManager(config.Object, fitness.Object, Mock.Of <ILogManager>()); unit.Start(); fitness.Verify(); }
private void Start() { if (instance == null) { instance = this; } else { Destroy(gameObject); } FirstPopulation(); BeginTest(); }
public TrainingAIViewModel() { this.TrainingCanvas = new Canvas(); this.TrainingCanvas.Width = ApplicationConfig.MAX_WIDTH_PANEL; this.TrainingCanvas.Height = ApplicationConfig.MAX_HEIGHT_PANEL; this.TrainingCanvas.Background = System.Windows.Media.Brushes.AliceBlue; this.sessionManager = new SessionManager(); this.geneticManager = new GeneticManager(); this.randomCoord = new Random(); this.sessionManager.New_MyTimerTick += New_My_Tick; MessengerInstance.Register <bool>(this, "NewGenome", (action) => NewGenome(action)); }
private void Btn_run_Click(object sender, EventArgs e) { if (pic_origin.Image == null) { Status = "execute fail"; MessageBox.Show("not found image"); } else { Status = "execute"; text_originsize.Enabled = false; text_cutsize.Enabled = false; text_grayscale.Enabled = false; Global.Stop = false; GeneticManager gm = new GeneticManager(new Bitmap(pic_origin.Image)); gm.BestGenImage += Gm_BestGenImage; gm.Run(); } }
//////////////////////////////////////////////////////////// void Awake() { Debug.Log("GameManager-Awake"); curGeneration = 0; simulSpeed = 2.0f; UnitTime = 1.0f; localTime = 0.0f; gameState = SIMUL_STATE.INIT; simulStep = 0; isSimulPause = false; isMoveNext = false; geneticManager = GeneticManager.Instance; geneticManager.CheckFitness = CheckFitness; objList = new List <TestObject>(); }
private void Start() { _geneticManager = new GeneticManager() { PixelCollection = PixelCollection, ScoringTable = ScoringTableFactory.Create(CurrentScoringType), Crossing = CrossingFactory.Create(CurrentCrossingType), PixelsToSelect = PixelsToSelect, HowManyChildren = HowManyChildren, Mutation = MutationFactory.Create(CurrentMutationType), MutationRate = CurrentMutationRate, }; IsVisualisationEnabled = true; _backgroundWorker = new BackgroundWorker { WorkerReportsProgress = true, WorkerSupportsCancellation = true }; _backgroundWorker.DoWork += DoVisualisation; _backgroundWorker.ProgressChanged += OnNextGeneration; _backgroundWorker.RunWorkerAsync(); }
void Start() { geneManager = GetComponent <GeneticManager>(); }
/* @author John Gansallo */ public void ExportCSV() { // get all the data needed for the filename GeneticManager chrom1Manager = GetComponent <GeneticManager>(); int numGens = chrom1Manager.numGens; int numAgents = chrom1Manager.numAgents; GolferSettings.Fitness fitnessFunc = chrom1Manager.fitnessFunc; GolferSettings.MoveableJointsExtent moveableJoints = chrom1Manager.moveableJoints; GolferSettings.ClubGrip clubGrip = chrom1Manager.clubGrip; float holeDist = chrom1Manager.holeDist; float holeDistRand = chrom1Manager.holeDistRand; float timePerGen = chrom1Manager.timePerGen; float crossoverProb = chrom1Manager.crossoverProb; float mutationProb = chrom1Manager.mutationProb; int numElites = chrom1Manager.numElites; // get the actual data for the csv float[,] results1 = chrom1Manager.GetResults(); float[,] results2 = GetComponent <GeneticManager2>().GetResults(); float[,] results3 = GetComponent <GeneticManager3>().GetResults(); string filename = "numGens-" + numGens; filename += "_fitness-" + (fitnessFunc == GolferSettings.Fitness.accuracy ? "accuracy" : "distance"); filename += "_jointsExtent-" + (moveableJoints == GolferSettings.MoveableJointsExtent.armsTorso ? "upperBody" : "fullBody"); filename += "_grip-" + (clubGrip == GolferSettings.ClubGrip.oneHand ? "1hand" : "2hand"); filename += "_numAgents-" + numAgents; if (fitnessFunc == GolferSettings.Fitness.accuracy) { filename += "_holeDist-" + holeDist; filename += "_holeRandOffset-" + holeDistRand; } filename += "_genTime-" + timePerGen; filename += "_pc-" + crossoverProb; filename += "_mc-" + mutationProb; filename += "_elitism-" + numElites; string path = Application.dataPath + @"/" + filename + ".csv"; if (!File.Exists(path)) { // Create a file to write to. using (StreamWriter gen = File.CreateText(path)) { gen.WriteLine("Generation #,Chrom1 Best Fitness,Chrom1 Average Fitness,Chrom2 Best Fitness,Chrom2 Average Fitness,Chrom3 Best Fitness,Chrom3 Average Fitness"); for (int i = 0; i < results1.GetLength(0); i++) { float avgFit1 = 0; float avgFit2 = 0; float avgFit3 = 0; float bestFit1 = Single.MinValue; float bestFit2 = Single.MinValue; float bestFit3 = Single.MinValue; for (int j = 0; j < numAgents; j++) { avgFit1 += results1[i, j]; avgFit2 += results2[i, j]; avgFit3 += results3[i, j]; if (results1[i, j] > bestFit1) { bestFit1 = results1[i, j]; } if (results2[i, j] > bestFit2) { bestFit2 = results2[i, j]; } if (results3[i, j] > bestFit3) { bestFit3 = results3[i, j]; } } avgFit1 = avgFit1 / numAgents; avgFit2 = avgFit2 / numAgents; avgFit3 = avgFit3 / numAgents; gen.WriteLine((i + 1).ToString() + "," + bestFit1 + "," + avgFit1 + "," + bestFit2 + "," + avgFit2 + "," + bestFit3 + "," + avgFit3); } } } }
// Use this for initialization public void Awake() { genetic = GameObject.Find("GeneManager").GetComponent <GeneticManager>(); }
void Start() { Genetic_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GeneticManager>(); Game_Manager = GameObject.FindGameObjectWithTag("GameManager").GetComponent <GameManager>(); }