private void Window_Loaded_1(object sender, RoutedEventArgs e)
{
pop = InitPopulation();
score = new PlantScore();
this.genetic = new BasicEA(pop, score);
//this.genetic.Speciation = new ArraySpeciation<DoubleArrayGenome>();
genetic.AddOperation(0.9, new Splice(PlantUniverse.GenomeSize / 3));
genetic.AddOperation(0.1, new MutatePerturb(0.1));
// Display
this.universe = new PlantUniverse();
this.universe.Reset();
DoubleArrayGenome bestGenome = (DoubleArrayGenome)genetic.BestGenome;
PlantPhysics physics = new PlantPhysics();
PlantGrowth growth = new PlantGrowth();
for (int i = 0; i < 100; i++)
{
physics.RunPhysics(universe);
growth.RunGrowth(universe, bestGenome.Data);
}
this.display = new DisplayPlant(CanvasOutput);
this.display.Universe = this.universe;
Thread t = new Thread(DoWork);
t.Start();
}
IEnumerator SpreadPlants(int waitTime) // Do this only once
{
while (true)
{
yield return(new WaitForSeconds(waitTime));
int plantCount = Random.Range(1, 3);
for (int i = 0; i < plantCount; i++)
{
float rngX = Random.Range(-5f, 5f);
float rngZ = Random.Range(-5f, 5f);
RaycastHit hit;
if (Physics.Raycast(transform.position + new Vector3(rngX, 10, rngZ), Vector3.down, out hit, Mathf.Infinity))
{
if (hit.collider.CompareTag("GroundFertile"))
{
GameObject newPlant = Instantiate(myPrefab, hit.point, Quaternion.Euler(0, Random.Range(0, 360), 0));
PlantGrowth setPlant = newPlant.GetComponent <PlantGrowth>();
setPlant.curGrowth = Random.Range(0f, 0.05f);
setPlant.foodValue = Random.Range(5, 50);
setPlant.curGrowth = Random.Range(0, 0.2f);
setPlant.growthRateRange = Random.Range(1, 2);
setPlant.isMature = false;
setPlant.hasSpread = false;
}
}
}
Debug.Log("PLANTSPREAD");
yield break;
}
}
private void DoWork()
{
int generation = 0;
UpdateStatus("Starting up...");
while (!_done)
{
generation++;
this.genetic.Iteration();
this.universe.Reset();
DoubleArrayGenome bestGenome = (DoubleArrayGenome)this.genetic.BestGenome;
PlantGrowth growth = new PlantGrowth();
PlantPhysics physics = new PlantPhysics();
for (int i = 0; i < PlantUniverse.EvaluationCycles; i++)
{
physics.RunPhysics(universe);
growth.RunGrowth(universe, bestGenome.Data);
}
double bestScore = this.genetic.BestGenome.Score;
UpdateStatus("Generation: " + generation + ", Best Score: " + bestScore);
//System.out.println(Arrays.toString(bestGenome.getLongTermMemory()));
}
}
/// <inheritdoc />
public double CalculateScore(IMLMethod algo)
{
var genome = (DoubleArrayGenome)algo;
var universe = new PlantUniverse();
universe.Reset();
var physics = new PlantPhysics();
var growth = new PlantGrowth();
// Run the generations.
for (int i = 0; i < PlantUniverse.EvaluationCycles; i++)
{
physics.RunPhysics(universe);
growth.RunGrowth(universe, genome.Data);
}
// Count the amount of green.
int count = 0;
double sum = 0;
for (int row = 0; row < PlantUniverse.UniverseHeight; row++)
{
for (int col = 0; col < PlantUniverse.UniverseWidth; col++)
{
PlantUniverseCell cell = universe.GetCell(row, col);
if (cell.IsAlive)
{
if (row >= PlantUniverse.GroundLine)
{
sum += 0.5;
}
else
{
sum += cell.Leafyness;
}
}
count++;
}
}
return(sum / count);
}
