/// <summary>
///
/// </summary>
private void Awake()
{
_currentStack = _model.Stack;
_currentGenerationData = new CellStackData[_genSize];
_population.Reset();
InitializeMatingPool();
string filepath = Application.dataPath + "/00-DataOutput";
string dateAndTimeVar = System.DateTime.Now.ToString("yyyy_MM_dd_HH_mm_ss");
filepath += "/" + dateAndTimeVar;
filePath = filepath;
System.IO.Directory.CreateDirectory(filePath);
//ONLY IF USING GENES FOR PARTIAL IMAGE SEEDS - synthesize 4 images from child genes - don't use this if you dont have genes for image textures
if (_SeedFromGenes == true)
{
Texture2D texture1 = _seeds[_currentStack.DNA.GetGene(0)];
Texture2D texture2 = _seeds[_currentStack.DNA.GetGene(1)];
Texture2D texture3 = _seeds[_currentStack.DNA.GetGene(2)];
Texture2D texture4 = _seeds[_currentStack.DNA.GetGene(3)];
Texture2D combined = ImageSynthesizer.CombineFour(texture1, texture2, texture3, texture4, _currentStack.RowCount, _currentStack.ColumnCount);
//place the synthesized image into the stack
_currentStack.SetSeed(combined);
//resets/initializes the model using the synthesized image
_model.ResetModel(combined);
//place the synthesized image into the stack
_currentStack.SetSeed(combined);
_analyser.ResetAnalysis();
}
}
/// <summary>
///
/// </summary>
private void Update()
{
if (_pause == false)
{
//check if stack is finished building
//if build not complete, leave function
if (_model.BuildComplete == false)
{
return;
}
//if stack building is complete, get fitness / update
if (_model.BuildComplete == true)
{
//calculate fitness
_analyser.Fitness();
//add stack to current generation
_currentStack.SetName("GEN " + generations + "_STACK " + _curCount);
_currentStack.UpdateDataText(); //updates the datatext
//add the stack to the generation
AddStackToGeneration(_currentStack);
_curCount++;
//if count == popsize recalculate the mating pool
if (_curCount == _genSize)
{
//add generation to the population history
AddGenToPopulation(_currentGenerationData);
//run natural selection to generate breeding pool - threshold value: include best performers above threshhold value (between 0,1))
UpdateMatingPool(0.5f);
SerializeData(_currentGenerationData);
//reset current population array
_currentGenerationData = new CellStackData[_genSize];
//reset popcounter
_curCount = 0;
generations++;
}
//breed new dna from mating pool
IDNAI childdna = Breed();
//reset the stack and insert new dna
_currentStack.Restore();
_currentStack.SetDNA(childdna);
_model.Stack = _currentStack;
//ONLY IF USING GENES FOR PARTIAL IMAGE SEEDS - synthesize 4 images from child genes - don't use this if you dont have genes for image textures
if (_SeedFromGenes == true)
{
Texture2D texture1 = _seeds[childdna.GetGene(0)];
Texture2D texture2 = _seeds[childdna.GetGene(1)];
Texture2D texture3 = _seeds[childdna.GetGene(2)];
Texture2D texture4 = _seeds[childdna.GetGene(3)];
Texture2D combined = ImageSynthesizer.CombineFour(texture1, texture2, texture3, texture4, _currentStack.RowCount, _currentStack.ColumnCount);
//place the synthesized image into the stack
_currentStack.SetSeed(combined);
//resets/initializes the model using the synthesized image
_model.ResetModel(combined);
_analyser.ResetAnalysis();
}
else
{
//resets/initializes the model using original seedimage
_model.ResetModel();
_analyser.ResetAnalysis();
}
}
}
}
/// <summary>
///
/// </summary>
private void Update()
{
//check if stack is finished building
//if build not complete, leave function
if (_model.BuildComplete == false)
{
return;
}
//if stack building is complete, get fitness / update
if (_model.BuildComplete == true)
{
//calculate fitness
_analyser.Fitness();
//move the stack position
var generations = _population.Population.Count + 1;
Vector3 vector = new Vector3(1.5f * (_currentStack.RowCount) * (_curCount - 1), 0, 1.5f * (_currentStack.ColumnCount));
_currentStack.transform.localPosition = vector;
_currentStack.transform.parent = gameObject.transform;
//add stack to current generation
AddStackToGeneration(_currentStack);
_curCount++;
//if count == popsize recalculate the mating pool
if (_curCount == _genSize)
{
//add generation to the population history
AddGenToPopulation(_currentGeneration);
//run natural selection to generate breeding pool
UpdateMatingPool();
//reset current population array
_currentGeneration = new CellStack[_genSize];
//reset popcounter
_curCount = 0;
//move population
Vector3 vec = new Vector3(0, 0, 1.5f * (_currentStack.ColumnCount));
foreach (var stack in _population.Population)
{
stack.transform.localPosition += vec;
}
}
//breed new dna from mating pool
IDNAF childdna = Breed();
//turn off/deactivate the stack
_currentStack.gameObject.SetActive(false);
Debug.Log("Generation: " + generations + ", Stack: " + _curCount + " | Fitness= " + _currentStack.Fitness);
//reset the stack and insert new dna
_currentStack = Instantiate(_stackPrefab);
_currentStack.SetDNA(childdna);
_model.SetStack(_currentStack);
//synthesize 4 images from child gene
Texture2D texture1 = _seeds[Mathf.RoundToInt(childdna.GetGene(0))];
Texture2D texture2 = _seeds[Mathf.RoundToInt(childdna.GetGene(1))];
Texture2D texture3 = _seeds[Mathf.RoundToInt(childdna.GetGene(2))];
Texture2D texture4 = _seeds[Mathf.RoundToInt(childdna.GetGene(3))];
Texture2D combined = ImageSynthesizer.CombineFour(texture1, texture2, texture3, texture4, _currentStack.RowCount, _currentStack.ColumnCount);
//place the synthesized image into the stack
_currentStack.SetSeed(combined);
//resets/initializes the model using the synthesized image
_model.ResetModel(combined);
//_model.ResetModel();
//Debug.Log("I reseted the model");
}
}
