/// <summary>
/// Ends the generation. Creates a new one. Updates GUI.
/// </summary>
public void ResetGeneration()
{
Debug.Log("Resetting Generation");
KillAgents();
float[] redAgentsFitness = fc.GetRedIndividualsFitness();
float[] blueAgentsFitness = fc.GetBlueIndividualsFitness();
int maxRedFitnessIndex = fc.GetMaxFitness(redAgentsFitness);
Debug.Log("Local Max Fitness (RED): " + fc.fitnessForIndividual[maxRedFitnessIndex * 2 + 1]);
int maxBlueFitnessIndex = fc.GetMaxFitness(blueAgentsFitness);
Debug.Log("Local Max Fitness (BLUE): " + fc.fitnessForIndividual[maxBlueFitnessIndex * 2]);
// Update GUI Elements.
GuiManager gm = GetComponent <GuiManager> ();
gm.UpdateMaxFitness(CalculateHighestFitness(redAgentsFitness[maxRedFitnessIndex], blueAgentsFitness[maxBlueFitnessIndex]));
gm.UpdateGeneration();
// Perform crossover of the genes with crossover algorithm.
int[][] endGenes = fc.allGenes;
//Debug.Log ("RED Best Genome: " + fc.PrintGenome (endGenes[maxRedFitnessIndex * 2 + 1]));
for (int i = 1; i < popSize; i += 2)
{
//Debug.Log ("Old Genome for index " + i + ": " + fc.PrintGenome (endGenes[i]));
endGenes[i] = crossover.Crossover(endGenes[maxRedFitnessIndex * 2 + 1], endGenes[i]);
//Debug.Log ("New Genome for index " + i + ": " + fc.PrintGenome (endGenes[i]));
}
for (int i = 0; i < popSize; i += 2)
{
endGenes[i] = crossover.Crossover(endGenes[maxBlueFitnessIndex * 2], endGenes[i]);
}
allGenes = endGenes;
Initialize(popSize, false);
ResetTimer();
}
