void Breed()
{
for (int i = 0; i < nnAgents.Count; i++)
{
geneticAlgorithm.SetGenomeFitness(nnAgents[i].fitness, i);
}
geneticAlgorithm.BreedPopulation();
}
/// <summary>
/// Creates a new population by evolution.
/// </summary>
void BreedPopulation()
{
for (int i = 0; i < _agents.Count; i++)
{//sets fitness to the genomes for all agents
_geneticAlgorithm.SetGenomeFitness(_agents[i].fitness, i);
}
//breeds a new population
_geneticAlgorithm.BreedPopulation();
}
private void GoToNextGenome()
{
if (m_geneticAlg.GetCurrentGenomeIndex() == m_populationCount - 1)
{
m_geneticAlg.BreedPopulation();
NextTestSubject();
m_currentGenerationIndex++;
m_currentGenomeIndex = m_geneticAlg.GetCurrentGenomeIndex();
ChangeScene();
return;
}
NextTestSubject();
m_currentGenomeIndex = m_geneticAlg.GetCurrentGenomeIndex();
ChangeScene();
}
// Update is called once per frame
void Update()
{
if (testAgent.HasFailed())
{
if (genAlg.GetCurrentGenomeIndex() == POPULATION_SIZE - 1)
{
genAlg.BreedPopulation();
NextTestSubject();
return;
}
NextTestSubject();
}
currentAgentFitness = testAgent.FitnessFunction();
if (currentAgentFitness > bestFitness)
{
bestFitness = currentAgentFitness;
}
}