protected void StartFromScratch()
{
// Add basic genome input and output into alive genomes;
Genometype.NodeGenes[] nodes = new Genometype.NodeGenes[] {
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 1),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 2),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 3),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 4),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 5),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 6),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 7),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output, _IOIndex: 0),
};
Genometype genome = new Genometype(nodes);
GenomeMutationController mutationController = new GenomeMutationController(genome);
mutationController.MutateByAddingConnection();
m_aliveGenomes.AddRange(mutationController.mutations);
for (int i = 0; i < m_aliveGenomes.Count; i++)
{
m_weightOptimizers.Add(new WeightOptimize(this, genomeBirdCount, genomeBirdSurviveCount));
m_weightOptimizers[i].InsertGenome(m_aliveGenomes[i]);
}
}
public bool FindAliveData(out Genometype genome)
{
for (int i = 0; i < m_instances.Length; i++)
{
if (m_instances[i].gameObject.activeSelf)
{
genome = m_instances[i].GenomeData;
return(true);
}
}
genome = new Genometype(null, null);
return(false);
}
private Genometype TweakWeightInGenome(Genometype genome, bool fullyRandom = false)
{
Genometype newGenome = genome.Clone();
for (int i = 0; i < newGenome.connectionGenes.Length; i++)
{
if (fullyRandom)
{
newGenome.connectionGenes[i].weight = Random.Range(-10f, 10f);
}
else
{
newGenome.connectionGenes[i].weight += Random.Range(-1f, 1f);
}
}
// Debug.Log(newGenome);
return(newGenome);
}
public void FindBestData()
{
Genometype bestData = m_inputs[0].GenomeData;
float bestScore = m_gameController.CalculateGenomeCharacterPoints(m_inputs[0]);
for (int i = 1; i < instanceCount; i++)
{
float score = m_gameController.CalculateGenomeCharacterPoints(m_inputs[i]);
if (score < bestScore)
{
bestData = m_inputs[i].GenomeData;
bestScore = score;
}
GameObject.Destroy(m_inputs[i].gameObject);
}
GameObject.Destroy(m_inputs[0].gameObject);
m_currentGenome = bestData;
}
public bool CharacterReachEnd(CharacterController character)
{
if (finished)
{
return(false);
}
GenomeControlInput input = character.GetComponent <GenomeControlInput>();
bool matched = false;
for (int i = 0; i < instanceCount; i++)
{
if (input == m_inputs[i])
{
matched = true;
break;
}
}
if (!matched)
{
return(false);
}
m_currentGenome = input.GenomeData;
for (int i = 0; i < instanceCount; i++)
{
GameObject.Destroy(m_inputs[i].gameObject);
}
finished = true;
return(true);
}
public void InsertGenome(Genometype genome, bool fullyRandom = true)
{
m_currentGenomes.Add(genome);
PopulateByEvolveFromGenome(fullyRandom: fullyRandom, weightRange: 10f);
}
public GenomeScore(Genometype _genome, float _score)
{
genome = _genome;
score = _score;
}
public void InsertGenome(AbstractMachineLearningGameController gameController, Genometype genome)
{
m_gameController = gameController;
genomeController = new GenomeController(genome);
}
public void Prepare(ITraningGameControl gameControl, Genometype genome)
{
m_gameController = (AbstractMLGameControl)gameControl;
genomeController = new GenomeController(genome);
}
public void InsertGenome(Genometype genome, bool fullyRandom = true)
{
m_currentGenome = genome;
Repopulate(fullyRandom: fullyRandom);
}
