private static GeneticCode DuplicateGeneticCode(GeneticCode oGeneticCode)
{
GeneticCode newGeneticCode = new GeneticCode();
float mutationChance = oGeneticCode.GetMutationChance();
float noise = oGeneticCode.GetNoise();
float noiseChance = oGeneticCode.GetNoiseChance();
List <byte> newGeneticCodeList = new List <byte>();
List <byte> oldGeneticCodeList = oGeneticCode.GetGeneticCodeList();
//Debug.Log("Mutation Chance " + mutationChance);
int randomInsert = Random.Range(0, oldGeneticCodeList.Count);
//randomInsert = 1;
//Debug.Log("Random Insert at = " + randomInsert);
byte randomValue = (byte)(Random.Range(0, 255));
randomValue = 10;
//Debug.Log("Random Value = " + randomValue);
for (int i = 0; i < oldGeneticCodeList.Count; i++)
{
bool addNoise = false;
if (Random.Range(0f, 1f) > noiseChance)
{
addNoise = true;
}
if (Random.Range(0f, 1f) < mutationChance)
{
Debug.Log("Random Insertion @ " + i);
newGeneticCodeList.Add((byte)(Random.Range(0, 255)));
Debug.Log("Safely inserted");
}
byte byteToAdd = oldGeneticCodeList[i];
if (addNoise)
{
//Debug.Log("Adding noise to " + byteToAdd);
byteToAdd = (byte)(byteToAdd * Random.Range(-noise, +noise));
//Debug.Log("Added noise : " + byteToAdd);
}
newGeneticCodeList.Add(oldGeneticCodeList[i]);
}
Debug.Log("Exited");
newGeneticCode.SetGeneticCodeList(newGeneticCodeList);
//newGeneticCodeList = new List<byte>();
return(newGeneticCode);
}
void Start()
{
gameObject.AddComponent <MeshFilter>();
currentStage = CurrentStage.expanding;
//Debug.Log("Start being called");
if (geneticCode == null)
{
//Debug.Log(gameObject.name + " is creating a genetic code!");
geneticCode = new GeneticCode();
}
else
{
//Debug.Log(gameObject.name + " already have a genetic code!");
}
parts = new List <GameObject>();
geneticCodeOperator = new GeneticCodeOperator();
geneticBuildingInstructions = new GeneticBuildingInstructions();
#region neural network tests
/*
* neural = new NetworkModel();
* neural.Layers.Add(new NeuralLayer(4, 1, "INPUT"));
* neural.Layers.Add(new NeuralLayer(2, 1, "HIDDEN"));
* neural.Layers.Add(new NeuralLayer(4, 2, "OUTPUT"));
*
* neural.Build();
* //Debug.Log("----Before Training------------");
* neural.Print();
*
* NeuralData X = new NeuralData(4);
* X.Add(1, 1);
* X.Add(1, 1);
* X.Add(1, 0);
* X.Add(1, 1);
*
* NeuralData Y = new NeuralData(4);
* Y.Add(1);
* Y.Add(1);
* Y.Add(0);
* Y.Add(0);
*
* neural.Train(X, Y, iterations: 10, learningRate: 0.1);
* //List<double> outputs = neural.Process(X);
*
*/
#endregion
//Debug.Log("----After Training------------");
//for(int i = 0; i < outputs.Count; i++)
//{
// Debug.Log($"Output{i} = {outputs[i]}");
//}
//neural.Print();
//X.Add(2.0f);
//X.Add(3.0f);
//List<double> outputs = neural.Train(X);
//Debug.Log("Output");
//for (int i = 0; i < outputs.Count; i++)
//{
// Debug.Log($"Out{i} = {outputs[i]}");
//}
List <byte> geneticCodeList = geneticCode.GetGeneticCodeList();
geneticCodeOperator.ProcessGeneticCode(gameObject, ref geneticCodeList, geneticBuildingInstructions.GetBuildingInstructions());
geneticCode.SetGeneticCodeList(geneticCodeList);
//read geneticCode
//operateGeneticCode
}
