private void Start()
{
engine.death += GiveScore;
if (GetComponent <EngineUI>().isActiveAndEnabled)
{
rendered = true;
uiEngine = GetComponent <EngineUI>();
NEATRenderer neatRenderer = new NEATRenderer();
if (GameObject.Find("ParentObj(Clone)") != null)
{
Destroy(GameObject.Find("ParentObj(Clone)"));
}
if (GameObject.Find("ParentObj") != null)
{
Destroy(GameObject.Find("ParentObj"));
}
//neatRenderer.DrawGenome(neuralNet.genome, new Vector3 (16, 8.2f, 0), new Vector2(11,12f));
}
Clock.clockTick += GetOutputs;
if (Manager.gameType == Manager.GameType.Display)
{
neuralNet = new NeuralNetwork(Manager.displayGenome);
}
}
IEnumerator SimpleTest()
{
NEATRenderer neatRenderer = new NEATRenderer();
Evaluator eval = new Evaluator(200, simpleGenome);
int drawI = 0;
int scale = 20;
int i = 0;
while (i < 1000)
{
List <float> scores = new List <float>();
foreach (Genome g in eval.genomes)
{
scores.Add(eval.EvaluateGenome(g));
}
yield return(new WaitForEndOfFrame());
eval.Evaluate(scores.ToArray());
if (i % 2 == 0)
{
//neatRenderer.DrawGenome(eval.GetFittestGenome(), new Vector3((scale+1) * (drawI+1), 0, 0), Vector2.one * scale);
TextureFromANN grapher = GetComponent <TextureFromANN>();
grapher.DrawTexture(grapher.TextureFromNeuralNet(new NeuralNetwork(eval.GetFittestGenome()), 101, 101));
drawI++;
}
yield return(new WaitForEndOfFrame());
print("Generation: " + i + "\nHighest fitness: " + eval.GetHighestFitness() + "\nNo. species: " + eval.GetSpeciesAmount());
yield return(new WaitForEndOfFrame());
i++;
}
//neatRenderer.DrawGenome(eval.GetFittestGenome(), new Vector3((scale+1) * (drawI+1), 0, 0), Vector2.one * scale);
//eval.EvaluateGenome(eval.GetFittestGenome(), true);
//TetrisNEAT.SaveGenome(eval.GetFittestGenome(), "/TestGenome3.gen");
}
void Start()
{
History.nodeInnovation = 0;
// FIRST PARENT
firstParent.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, 1));
firstParent.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, 2));
firstParent.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, 3));
firstParent.AddNodeGene(new NodeGene(NodeGene.TYPE.OUTPUT, 4));
firstParent.AddNodeGene(new NodeGene(NodeGene.TYPE.HIDDEN, 5));
// CONNECTIONS
firstParent.AddConnectionGene(new ConnectionGene(1, 4, 1f, true, 1));
firstParent.AddConnectionGene(new ConnectionGene(2, 4, 1f, false, 2));
firstParent.AddConnectionGene(new ConnectionGene(3, 4, 1f, true, 3));
firstParent.AddConnectionGene(new ConnectionGene(2, 5, 1f, true, 4));
firstParent.AddConnectionGene(new ConnectionGene(5, 4, 1f, true, 5));
firstParent.AddConnectionGene(new ConnectionGene(1, 5, 1f, true, 8));
// SECOND PARENT
secondParent.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, 1));
secondParent.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, 2));
secondParent.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, 3));
secondParent.AddNodeGene(new NodeGene(NodeGene.TYPE.OUTPUT, 4));
secondParent.AddNodeGene(new NodeGene(NodeGene.TYPE.HIDDEN, 5));
secondParent.AddNodeGene(new NodeGene(NodeGene.TYPE.HIDDEN, 6));
// CONNECTIONS
secondParent.AddConnectionGene(new ConnectionGene(1, 4, 1f, true, 1));
secondParent.AddConnectionGene(new ConnectionGene(2, 4, 1f, false, 2));
secondParent.AddConnectionGene(new ConnectionGene(3, 4, 1f, true, 3));
secondParent.AddConnectionGene(new ConnectionGene(2, 5, 1f, true, 4));
secondParent.AddConnectionGene(new ConnectionGene(5, 4, 1f, false, 5));
secondParent.AddConnectionGene(new ConnectionGene(5, 6, -1f, true, 6));
secondParent.AddConnectionGene(new ConnectionGene(6, 4, 1f, true, 7));
secondParent.AddConnectionGene(new ConnectionGene(3, 5, 1f, true, 9));
secondParent.AddConnectionGene(new ConnectionGene(1, 6, 1f, true, 10));
// SIMPLE GENOME
simpleGenome.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, History.NodeInnovate()));
simpleGenome.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, History.NodeInnovate()));
simpleGenome.AddNodeGene(new NodeGene(NodeGene.TYPE.SENSOR, History.NodeInnovate()));
simpleGenome.AddNodeGene(new NodeGene(NodeGene.TYPE.OUTPUT, History.NodeInnovate()));
simpleGenome.AddConnectionGene(new ConnectionGene(1, 4, -1f, true, History.Innovate()));
simpleGenome.AddConnectionGene(new ConnectionGene(2, 4, 1f, true, History.Innovate()));
simpleGenome.AddConnectionGene(new ConnectionGene(3, 4, 1f, true, History.Innovate()));
//simpleGenome.AddConnectionGene(new ConnectionGene(2, 3, 1f, true, History.Innovate()));
Genome offspringGenome = Genome.Crossover(secondParent, firstParent);
int numToRender = 1003;
int scale = 20;
NEATRenderer renderer = new NEATRenderer();
for (int i = 0; i < numToRender; i += 100)
{
renderer.DrawGenome(TetrisNEAT.OpenGenome("/" + i + ".tetro"), new Vector3((scale + 1) * (i + 1), 0, 0), Vector2.one * scale);
}
// Un-comment the below line to conduct a test with the current evaluator after first removing the rendering instructions
//StartCoroutine(SimpleTest());
}