// rewrite the spreaded detection values with zeroes
public void SpreadZeroes(int id, Vector3 pos)
{
float[][] detection = new float[0][];
int minX = 0;
int maxX = 0;
int minY = 0;
int maxY = 0;
switch (_fitnessFunction)
{
case GameManager.FitnessFunctions.DetectionBased:
detection = RouteOptimizer.SpreadDetection(new Vector2(pos.x, pos.y), this);
minX = Mathf.Clamp((int)(pos.x) - RouteOptimizer.Radius, 0, _width - 1);
maxX = Mathf.Clamp((int)(pos.x) + RouteOptimizer.Radius, 0, _width - 1);
minY = Mathf.Clamp((int)(pos.y) - RouteOptimizer.Radius, 0, _height - 1);
maxY = Mathf.Clamp((int)(pos.y) + RouteOptimizer.Radius, 0, _height - 1);
break;
case GameManager.FitnessFunctions.IntersectionBased:
detection = RouteOptimizer2.SpreadDetection(new Vector2(pos.x, pos.y), this);
minX = Mathf.Clamp((int)(pos.x) - RouteOptimizer2.Radius, 0, _width - 1);
maxX = Mathf.Clamp((int)(pos.x) + RouteOptimizer2.Radius, 0, _width - 1);
minY = Mathf.Clamp((int)(pos.y) - RouteOptimizer2.Radius, 0, _height - 1);
maxY = Mathf.Clamp((int)(pos.y) + RouteOptimizer2.Radius, 0, _height - 1);
break;
case GameManager.FitnessFunctions.IntersectionScheme:
detection = RouteOptimizer3.SpreadDetection(new Vector2(pos.x, pos.y), this);
minX = Mathf.Clamp((int)(pos.x) - RouteOptimizer3.Radius, 0, _width - 1);
maxX = Mathf.Clamp((int)(pos.x) + RouteOptimizer3.Radius, 0, _width - 1);
minY = Mathf.Clamp((int)(pos.y) - RouteOptimizer3.Radius, 0, _height - 1);
maxY = Mathf.Clamp((int)(pos.y) + RouteOptimizer3.Radius, 0, _height - 1);
break;
}
for (int x = minX; x <= maxX; x++)
{
for (int y = minY; y < maxY; y++)
{
_grid[x][y].Detection[id] = 0f;
}
}
}
// use GA to find the patrol route scheme and construct guards from them
private void SetGuards()
{
GameObject tempGuard;
Guard behavior;
_guardControllers = new List <GuardController>();
List <SimpleRoute> lr = new List <SimpleRoute>();
switch (FitnessFunction)
{
case FitnessFunctions.DetectionBased:
lr = RouteOptimizer.FindScheme(NumberOfGuards, CrossoverPerStage, MapGrid, NumberOfIterations,
RouteGenotypeLength, MutationProbability, DetectionRadius, DetectionDecayTime, FitnessBinsX,
FitnessBinsY, RandomSeed);
break;
case FitnessFunctions.IntersectionBased:
lr = RouteOptimizer2.FindScheme(NumberOfGuards, CrossoverPerStage, MapGrid, NumberOfIterations,
RouteGenotypeLength, MutationProbability, DetectionRadius, DetectionDecayTime, FitnessBinsX,
FitnessBinsY, RandomSeed);
break;
case FitnessFunctions.IntersectionScheme:
lr = RouteOptimizer3.FindScheme(NumberOfSchemes, NumberOfGuards, CrossoverPerStage, SimpleCrossover, MapGrid,
NumberOfIterations, RouteGenotypeLength, MutationProbability, RouteMutationProbability, UseMinFunction,
DetectionRadius, DetectionDecayTime, RandomSeed);
break;
}
Vector2 curNode, prevNode;
Color color;
float totalFitness = 0f;
for (int i = 0; i < NumberOfGuards; i++)
{
totalFitness += lr[i].Fitness;
tempGuard = Instantiate(GuardPrefab, GuardContainer);
behavior = new Guard(lr[i]);
tempGuard.transform.position = new Vector3(lr[i].StartNode.x, lr[i].StartNode.y, 0f);
do
{
color = new Color(Random.value, Random.value, Random.value);
}while (color.grayscale > 0.75);
tempGuard.GetComponent <GuardController>().color = color;
curNode = lr[i].StartNode;
MapGrid.ModifyNodeText(curNode, i.ToString());
for (int j = 0; j < lr[i].PatrolRoutePhen.Count; j++)
{
prevNode = curNode;
curNode = MapGrid.Move(curNode, lr[i].PatrolRoutePhen[j].Direction);
MapGrid.ModifyNodeText(curNode, i.ToString());
MapGrid.ModifyRouteDisplay(prevNode, curNode, lr[i].PatrolRoutePhen[j].Direction, color);
}
tempGuard.GetComponent <GuardController>().Behavior = behavior;
tempGuard.GetComponent <GuardController>().SetAlarmLimits(MinOutputToCheck, MinOutputForAlarm);
_guardControllers.Add(tempGuard.GetComponent <GuardController>());
}
totalFitness /= NumberOfGuards;
FitnessDisplayField.text += totalFitness.ToString();
}
