public void StartMAP2()
{
if (carKnowsDrag)
{
NUM_INPUTS = 6;
}
if (!randomDrag)
{
Trials = 1;
}
//TODO SetupNewExperiment skal fixes til MAP Elites
SetupNewMAPExperiment();
// print("Loading: " + popFileLoadPath);
_ea = experiment.CreateEvolutionAlgorithm(popFileSavePath);
startTime = DateTime.Now;
_ea.UpdateEvent += new EventHandler(ea_UpdateEventMAP);
_ea.PausedEvent += new EventHandler(ea_PauseEvent);
IList <NeatGenome> unTestedGenomes = null;
if (map.Values.Count == 0)
{
unTestedGenomes = _ea.GenomeList;
}
else
{
unTestedGenomes = new List <NeatGenome> (map.Values);
}
//Loop this:
// while (firstRun) {
List <NeatGenome> children = new List <NeatGenome> ();
for (int i = 0; i < 50; i++)
{
NeatGenome mom = unTestedGenomes [UnityEngine.Random.Range(0, unTestedGenomes.Count)]; // = new NeatGenome (); // Should be selected random from the map.
NeatGenome dad = unTestedGenomes [UnityEngine.Random.Range(0, unTestedGenomes.Count)]; // = new NeatGenome (); // Should be selected random from the map.
NeatGenome child = mom.CreateOffspring(dad, _ea.CurrentGeneration);
children.Add(child);
}
print("Test length: " + children.Count);
_ea.GenomeList = children;
_ea.StartContinueMAP2();
}
public NeatGenome MutateGenome(NeatGenome genome)
{
return genome.CreateOffspring(genome.BirthGeneration + 1);
}
public override Individual Mutate(uint gen)
{
return(new RobotIndividual(Genome.CreateOffspring(gen)));
}
void ea_UpdateEventMAP(object sender, EventArgs e)
{
Utility.Log(string.Format("gen={0:N0} bestFitness={1:N6}",
_ea.CurrentGeneration, _ea.Statistics._maxFitness));
Generation = _ea.CurrentGeneration;
IList <NeatGenome> testedGenomes = _ea.GenomeList;
print("TestedGenomes = " + testedGenomes.Count);
foreach (NeatGenome genome in testedGenomes)
{
int key = convertAvgSpeedToKey(genome.EvaluationInfo.AvgSpeed);
if (key == -1)
{
continue;
}
if (map.ContainsKey(key))
{
if (map [key] != null)
{
if (genome.EvaluationInfo.Fitness > map [key].EvaluationInfo.Fitness)
{
Debug.Log("New Best! Key: " + key + " Old: " + map [key].EvaluationInfo.Fitness + " New: " + genome.EvaluationInfo.Fitness);
map [key] = genome;
SaveGenome(genome, key.ToString());
}
}
else
{
map [key] = genome;
SaveGenome(genome, key.ToString());
Debug.Log("New Added! Key: " + key + " New: " + genome.EvaluationInfo.Fitness);
}
}
else
{
map.Add(key, genome);
SaveGenome(genome, key.ToString());
Debug.Log("New Added! Key: " + key + " New: " + genome.EvaluationInfo.Fitness);
}
}
Debug.Log("Map size: " + map.Values.Count);
foreach (KeyValuePair <int, NeatGenome> value in map)
{
//Now you can access the key and value both separately from this attachStat as:
Debug.Log("Key: " + value.Key + " - Fitness: " + value.Value.EvaluationInfo.Fitness);
}
IList <NeatGenome> unTestedGenomes = new List <NeatGenome> (map.Values);
//Loop this:
// while (firstRun) {
List <NeatGenome> children = new List <NeatGenome> ();
for (int i = 0; i < 50; i++)
{
NeatGenome mom = unTestedGenomes [UnityEngine.Random.Range(0, unTestedGenomes.Count)]; // = new NeatGenome (); // Should be selected random from the map.
NeatGenome dad = unTestedGenomes [UnityEngine.Random.Range(0, unTestedGenomes.Count)]; // = new NeatGenome (); // Should be selected random from the map.
NeatGenome child = mom.CreateOffspring(dad, _ea.CurrentGeneration);
children.Add(child);
}
_ea.GenomeList = children;
Fitness = (float)_ea.Statistics._maxFitness;
MeanFitness = (float)_ea.Statistics._meanFitness;
if (bestFitness < Fitness)
{
//map [getIndex (rain)] = _ea.CurrentChampGenome;
XmlWriterSettings _xwSettings = new XmlWriterSettings();
_xwSettings.Indent = true;
// Save genomes to xml file.
DirectoryInfo dirInf = new DirectoryInfo(Application.persistentDataPath + string.Format("/{0}", folder_prefix));
if (!dirInf.Exists)
{
Debug.Log("Creating subdirectory");
dirInf.Create();
}
using (XmlWriter xw = XmlWriter.Create(champFileSavePath, _xwSettings)) {
experiment.SavePopulation(xw, new NeatGenome[] { _ea.CurrentChampGenome });
}
bestFitness = Fitness;
Debug.Log("New best saved: " + bestFitness);
TrialDuration = bestFitness * 50.0f > 70.0f ? bestFitness * 50.0f : 70.0f;
if (TrialDuration > 450.0f)
{
TrialDuration = 450.0f;
}
}
ChampAvgSpeed = _ea.CurrentChampGenome.EvaluationInfo.AvgSpeed;
}