public void EvaluateFitness()
{
//DebugLogPopulation();
//testPop = new List<Chromossome>();
/**
* for (int i = 0; i < population.Count; i++)
* {
* testPop.Add(population[i]);
* }
* /**/
for (int i = 0; i < population.Count; i++)
{
float __tempFitness = 0;
Chromossome __tempChromossome = population[i];
int[][] __simulatedMap = CellularAutomata.SimulateMap(__tempChromossome.GetMap(), 5);
__simulatedMap = CellularAutomata.FillExclaves(__simulatedMap); //by doing this we end up having only the largest cave area
//first we calculate the fitness from Fill Ratio
float __fill = CellularAutomata.GetFilledPercentage(__simulatedMap);
__tempFitness += (1 - (Mathf.Abs(fillTarget - __fill))) * fitnessBaseValue;
//now we calculate the fitness based on points
for (int j = 0; j < fitnessPoints.Length; j++)
{
if (__simulatedMap[(int)fitnessPoints[j].y][(int)fitnessPoints[j].x] == 0)
{
__tempFitness += fitnessBaseValue * fitnessPointsWeight;
}
}
__tempChromossome.fitness = __tempFitness;
population[i] = __tempChromossome;
}
/**
* for (int i = 0; i < population.Count; i++)
* {
* Debug.Log(testPop[i] == population[i]);
* }
* /**/
//DebugLogPopulation();
}
//private int[][][] MultiTileObjectMap;
// Use this for initialization
void Start()
{
PointsToBeIncluded = new Vector2[9][];
/**
* PointsToBeIncluded[0] = new Vector2[4];
* PointsToBeIncluded[0][0] = new Vector2(24, 49);
* PointsToBeIncluded[0][1] = new Vector2(25, 49);
* PointsToBeIncluded[0][2] = new Vector2(49, 24);
* PointsToBeIncluded[0][3] = new Vector2(49, 25);
*
* PointsToBeIncluded[1] = new Vector2[6];
* PointsToBeIncluded[1][0] = new Vector2(24, 49);
* PointsToBeIncluded[1][1] = new Vector2(25, 49);
* PointsToBeIncluded[1][2] = new Vector2(49, 24);
* PointsToBeIncluded[1][3] = new Vector2(49, 25);
* PointsToBeIncluded[1][4] = new Vector2(0, 24);
* PointsToBeIncluded[1][5] = new Vector2(0, 25);
*
* PointsToBeIncluded[2] = new Vector2[4];
* PointsToBeIncluded[2][0] = new Vector2(24, 49);
* PointsToBeIncluded[2][1] = new Vector2(25, 49);
* PointsToBeIncluded[2][2] = new Vector2(0, 24);
* PointsToBeIncluded[2][3] = new Vector2(0, 25);
*
* PointsToBeIncluded[3] = new Vector2[6];
* PointsToBeIncluded[3][0] = new Vector2(24, 49);
* PointsToBeIncluded[3][1] = new Vector2(25, 49);
* PointsToBeIncluded[3][2] = new Vector2(49, 24);
* PointsToBeIncluded[3][3] = new Vector2(49, 25);
* PointsToBeIncluded[3][4] = new Vector2(24, 0);
* PointsToBeIncluded[3][5] = new Vector2(25, 0);
*
* PointsToBeIncluded[4] = new Vector2[8];
* PointsToBeIncluded[4][0] = new Vector2(24, 49);
* PointsToBeIncluded[4][1] = new Vector2(25, 49);
* PointsToBeIncluded[4][2] = new Vector2(0, 24);
* PointsToBeIncluded[4][3] = new Vector2(0, 25);
* PointsToBeIncluded[4][4] = new Vector2(24, 0);
* PointsToBeIncluded[4][5] = new Vector2(25, 0);
* PointsToBeIncluded[4][6] = new Vector2(49, 24);
* PointsToBeIncluded[4][7] = new Vector2(49, 25);
*
* PointsToBeIncluded[5] = new Vector2[6];
* PointsToBeIncluded[5][0] = new Vector2(24, 49);
* PointsToBeIncluded[5][1] = new Vector2(25, 49);
* PointsToBeIncluded[5][2] = new Vector2(0, 24);
* PointsToBeIncluded[5][3] = new Vector2(0, 25);
* PointsToBeIncluded[5][4] = new Vector2(24, 0);
* PointsToBeIncluded[5][5] = new Vector2(25, 0);
*
* PointsToBeIncluded[6] = new Vector2[4];
* PointsToBeIncluded[6][0] = new Vector2(24, 0);
* PointsToBeIncluded[6][1] = new Vector2(25, 0);
* PointsToBeIncluded[6][2] = new Vector2(49, 24);
* PointsToBeIncluded[6][3] = new Vector2(49, 25);
*
* PointsToBeIncluded[7] = new Vector2[6];
* PointsToBeIncluded[7][0] = new Vector2(24, 0);
* PointsToBeIncluded[7][1] = new Vector2(25, 0);
* PointsToBeIncluded[7][2] = new Vector2(49, 24);
* PointsToBeIncluded[7][3] = new Vector2(49, 25);
* PointsToBeIncluded[7][4] = new Vector2(0, 24);
* PointsToBeIncluded[7][5] = new Vector2(0, 25);
*
* PointsToBeIncluded[8] = new Vector2[4];
* PointsToBeIncluded[8][0] = new Vector2(24, 0);
* PointsToBeIncluded[8][1] = new Vector2(25, 0);
* PointsToBeIncluded[8][2] = new Vector2(0, 24);
* PointsToBeIncluded[8][3] = new Vector2(0, 25);
* /**/
PointsToBeIncluded[0] = new Vector2[4];
PointsToBeIncluded[0][0] = new Vector2(24, 49);
PointsToBeIncluded[0][1] = new Vector2(25, 49);
PointsToBeIncluded[0][2] = new Vector2(49, 24);
PointsToBeIncluded[0][3] = new Vector2(49, 25);
PointsToBeIncluded[1] = new Vector2[6];
PointsToBeIncluded[1][0] = new Vector2(24, 49);
PointsToBeIncluded[1][1] = new Vector2(25, 49);
PointsToBeIncluded[1][2] = new Vector2(49, 24);
PointsToBeIncluded[1][3] = new Vector2(49, 25);
PointsToBeIncluded[1][4] = new Vector2(0, 24);
PointsToBeIncluded[1][5] = new Vector2(0, 25);
PointsToBeIncluded[2] = new Vector2[2];
PointsToBeIncluded[2][0] = new Vector2(24, 49);
PointsToBeIncluded[2][1] = new Vector2(25, 49);
PointsToBeIncluded[3] = new Vector2[2];
PointsToBeIncluded[3][0] = new Vector2(49, 24);
PointsToBeIncluded[3][1] = new Vector2(49, 25);
PointsToBeIncluded[4] = new Vector2[4];
PointsToBeIncluded[4][0] = new Vector2(24, 49);
PointsToBeIncluded[4][1] = new Vector2(25, 49);
PointsToBeIncluded[4][2] = new Vector2(0, 24);
PointsToBeIncluded[4][3] = new Vector2(0, 25);
PointsToBeIncluded[5] = new Vector2[2];
PointsToBeIncluded[5][0] = new Vector2(24, 49);
PointsToBeIncluded[5][1] = new Vector2(25, 49);
PointsToBeIncluded[6] = new Vector2[2];
PointsToBeIncluded[6][0] = new Vector2(49, 24);
PointsToBeIncluded[6][1] = new Vector2(49, 25);
PointsToBeIncluded[7] = new Vector2[6];
PointsToBeIncluded[7][0] = new Vector2(24, 0);
PointsToBeIncluded[7][1] = new Vector2(25, 0);
PointsToBeIncluded[7][2] = new Vector2(49, 24);
PointsToBeIncluded[7][3] = new Vector2(49, 25);
PointsToBeIncluded[7][4] = new Vector2(0, 24);
PointsToBeIncluded[7][5] = new Vector2(0, 25);
PointsToBeIncluded[8] = new Vector2[4];
PointsToBeIncluded[8][0] = new Vector2(24, 0);
PointsToBeIncluded[8][1] = new Vector2(25, 0);
PointsToBeIncluded[8][2] = new Vector2(0, 24);
PointsToBeIncluded[8][3] = new Vector2(0, 25);
/**/
geneticAlgorithm.Initialize();
size = geneticAlgorithm.mapSize;
stopAt = (geneticAlgorithm.fitnessBaseValue * geneticAlgorithm.fitnessPointsWeight) * geneticAlgorithm.fitnessPoints.Length;
/**
* tileMap = new GameObject[geneticAlgorithm.populationSize][][];
* for (int i = 0; i < tileMap.Length; i++)
* {
* tileMap[i] = new GameObject[size][];
* }
* for (int i = 0; i < tileMap.Length; i++)
* {
* for (int j = 0; j < tileMap[i].Length; j++)
* {
* tileMap[i][j] = new GameObject[size];
* }
* }
*
* for (int i = 0; i < tileMap.Length; i++)
* {
* for (int j = 0; j < tileMap[i].Length; j++)
* {
* for (int k = 0; k < tileMap[i][j].Length; k++)
* {
* GameObject __temp = (GameObject)Instantiate(tile, new Vector3(k + (i * size), (size - j), 0), Quaternion.identity);
* tileMap[i][j][k] = __temp;
* }
* }
* }
* /**/
SingleTileObjectRenderer = SingleTileObject.GetComponent <Renderer>();
//Texture2D __tempTex = new Texture2D(size, size);
//SingleTileObjectRenderer.material.SetTexture("_MainTex", __tempTex);
MultiTileObjectRenderer = MultiTileObject.GetComponent <Renderer>();
UpdateMapSingleTile();
UpdateTilesSingleTile();
/**/
}
// Update is called once per frame
void Update()
{
/**/
if (Input.GetKeyDown(KeyCode.A))
{
geneticAlgorithm.Simulate();
Debug.Log("Generation: " + geneticAlgorithm.generation);
Debug.Log(" Best Fitness: " + geneticAlgorithm.population[0].fitness);
UpdateMapSingleTile();
UpdateTilesSingleTile();
}
else if (Input.GetKeyDown(KeyCode.S))
{
//Debug.Log(Time.timeSinceLevelLoad);
Texture2D __tempTex = new Texture2D(size * 3, size * 3);
for (int i = 0; i < 3; i++)
{
for (int j = 0; j < 3; j++)
{
int[][] __map;
geneticAlgorithm.Initialize();
geneticAlgorithm.fitnessPoints = PointsToBeIncluded[j + (i * 3)];
for (int k = 0; k < generations; k++)
{
geneticAlgorithm.Simulate();
}
//Debug.Log("Finished Simulation");
__map = CellularAutomata.FillExclaves(CellularAutomata.SimulateMap(geneticAlgorithm.population[0].GetMap(), 5));
for (int l = 0; l < __map.Length; l++)
{
for (int m = 0; m < __map[i].Length; m++)
{
__tempTex.SetPixel(m + (size * j), l + (size * i), __map[l][m] == 0 ? Color.black : Color.white);
}
}
}
//Debug.Log(Time.timeSinceLevelLoad);
__tempTex.Apply();
MultiTileObjectRenderer.material.SetTexture("_MainTex", __tempTex);
}
}
/**/
}
public void UpdateMapSingleTile()
{
/**
* map = new int[geneticAlgorithm.populationSize][][];
* for (int i = 0; i < map.Length; i++)
* {
* map[i] = CellularAutomata.FillExclaves(CellularAutomata.SimulateMap(geneticAlgorithm.population[i].GetMap(), 5));
* //map[i] = geneticAlgorithm.population[i].GetMap();
* //map[i] = CellularAutomata.SimulateMap(geneticAlgorithm.population[i].GetMap(), 5);
* }
* /**/
SingleTileObjectMap = CellularAutomata.FillExclaves(CellularAutomata.SimulateMap(geneticAlgorithm.population[0].GetMap(), 5));
}
