public static void SaveRun(GeneticAlgorithm.Genome genome, int generationNumber, int genomeNumber)
{
FindScriptableObject();
bestAIRun.genomeToSave = genome;
bestAIRun.generationNumber = generationNumber;
bestAIRun.genomeNumber = genomeNumber;
EditorUtility.SetDirty(bestAIRun);
}
private void Start()
{
m_carControl = FindObjectOfType <UnityStandardAssets.Vehicles.Car.CarUserControl> ();
m_waypoints = FindObjectsOfType <Waypoint> ().ToList();
m_raycaster = m_carControl.GetComponent <Eyes> ();
SceneManager.sceneLoaded += OnSceneChanged;
if (m_geneticAlg == null)
{
m_geneticAlg = new GeneticAlgorithm();
int totalWeights = 0;
for (int i = 0; i < m_neuralTopology.Length - 1; i++)
{
totalWeights += m_neuralTopology [i] * m_neuralTopology [i + 1];
}
m_geneticAlg.GeneratePopulation(m_populationCount, totalWeights);
m_neuralNet = new NeuralNetwork();
if (loadBestGenome == false)
{
GeneticAlgorithm.Genome genome = m_geneticAlg.GetNextGenome();
m_currentGenomeIndex = m_geneticAlg.GetCurrentGenomeIndex();
m_neuralNet.CreateNetFromGenome(genome, m_neuralTopology);
}
else
{
BestAIRun bestRun = SaveLoad.LoadRun();
GeneticAlgorithm.Genome genome = bestRun.genomeToSave;
if (genome.weights.Count == 0)
{
Debug.LogError("There are nothing to load. Uncheck 'Load Best Genome' option.");
Debug.Break();
return;
}
m_neuralNet.CreateNetFromGenome(genome, m_neuralTopology);
m_currentGenerationIndex = bestRun.generationNumber;
m_currentGenomeIndex = bestRun.genomeNumber;
m_bestFitness = (int)genome.fitness;
}
m_defaultPosition = transform.position;
m_defaultRotation = transform.rotation;
}
StartCoroutine(WaitGenomeStart());
}
public void NextTestSubject()
{
m_currentFitness = 0;
GeneticAlgorithm.Genome genome = m_geneticAlg.GetNextGenome();
m_neuralNet.CreateNetFromGenome(genome, m_neuralTopology);
m_neuralNet.ClearFailure();
transform.position = m_defaultPosition;
transform.rotation = m_defaultRotation;
foreach (Waypoint waypoint in m_waypoints)
{
waypoint.gameObject.SetActive(true);
}
}
public void CreateNetFromGenome(GeneticAlgorithm.Genome genome, int[] neuralMap)
{
m_network.Clear();
m_network.AddRange(GetInputNeurons());
int hiddenLayersCount = neuralMap.Length - 2;
int synapseIndex = 0;
for (int layer = 1; layer <= hiddenLayersCount; layer++)
{
int neuronsInCurrentLayer = neuralMap [layer];
for (int i = 0; i < neuronsInCurrentLayer; i++)
{
Neuron hiddenNeuron = new Neuron(Neuron.NeuronType.HIDDEN, layer);
int neuronsInPreviousLayer = neuralMap [layer - 1];
for (int j = 0; j < neuronsInPreviousLayer; j++)
{
hiddenNeuron.m_weights.Add(genome.weights [synapseIndex]);
synapseIndex++;
}
m_network.Add(hiddenNeuron);
}
}
int numOfHiddenNeurons = neuralMap [neuralMap.Length - 2];
int numOfOutputNeurons = neuralMap [neuralMap.Length - 1];
for (int i = 0; i < numOfOutputNeurons; i++)
{
Neuron outputNeuron = new Neuron(Neuron.NeuronType.OUTPUT, neuralMap.Length - 1);
for (int j = 0; j < numOfHiddenNeurons; j++)
{
outputNeuron.m_weights.Add(genome.weights[synapseIndex]);
synapseIndex++;
}
m_network.Add(outputNeuron);
}
}
