public void InitializeEA()
{
// set up network structure from dropdown
XmlDocument xmlConfig = new XmlDocument();
TextAsset textAsset = (TextAsset)Resources.Load("ExperimentSetups/experiment.config.braid.cppn.split");
// load in XML
xmlConfig.LoadXml(textAsset.text);
// set up experiment
experiment = new CPPNExperiment();
experiment.Initialize("Braid Experiment", xmlConfig.DocumentElement, 0, 0);
experiment.SetOptimizer(this);
// set up network variables
messenger = GameObject.FindObjectOfType <ModelMessenger>();
PopulationSize = XmlUtils.GetValueAsInt(xmlConfig.DocumentElement, "PopulationSize");
messenger.SetupEvolutionParameters(PopulationSize);
UnitContainer = GameObject.Find("UnitContainer");
if (!UnitContainer)
{
UnitContainer = new GameObject("UnitContainer");
}
// setup the relevant ui
IECManager.SetUIToEvolvingState();
BraidSimulationManager.populationSize = PopulationSize;
BraidSimulationManager.evaluationsMade = 0;
// clean up folders
FindObjectOfType <StoryboardUtility>().InitializeStoryboardUtility();
// start the EA
Generation = 0;
StartEA();
}
public override void Activate(IBlackBox box)
{
neat = box;
messenger = GameObject.FindObjectOfType <ModelMessenger>();
ActivateBraidController();
}
private IEnumerator evaluateList(IList <TGenome> genomeList)
{
Debug.Log("---------------------- Evaluating List of genomes ----------------------");
Dictionary <TGenome, TPhenome> dict = new Dictionary <TGenome, TPhenome>();
Dictionary <TGenome, FitnessInfo[]> fitnessDict = new Dictionary <TGenome, FitnessInfo[]>();
for (int i = 0; i < m_optimizer.Trials; i++)
{
m_phenomeEvaluator.Reset();
dict = new Dictionary <TGenome, TPhenome>();
foreach (TGenome genome in genomeList)
{
TPhenome phenome = m_genomeDecoder.Decode(genome);
if (i == 0)
{
fitnessDict.Add(genome, new FitnessInfo[m_optimizer.Trials]);
}
dict.Add(genome, phenome);
Coroutiner.StartCoroutine(m_phenomeEvaluator.Evaluate(phenome));
}
Debug.Log("Done creating phenomes...");
while (!BraidSimulationManager.HasControllersCreatedData())
{
Debug.Log("Waiting on controllers...");
yield return(new WaitForSeconds(0.05f));
}
ModelMessenger messenger = GameObject.FindObjectOfType <ModelMessenger>();
messenger.SendMessageToGH();
while (!BraidSimulationManager.HasControllersEvaluated())
{
yield return(new WaitForSeconds(0.05f));
}
BraidSimulationManager.AdvanceGeneration();
Debug.Log("Getting fitness values...");
foreach (TGenome genome in dict.Keys)
{
TPhenome phenome = dict[genome];
if (phenome != null)
{
FitnessInfo fitnessInfo = m_phenomeEvaluator.GetLastFitness(phenome);
fitnessDict[genome][i] = fitnessInfo;
}
}
Debug.Log("Done getting fitness values...");
}
foreach (TGenome genome in dict.Keys)
{
TPhenome phenome = dict[genome];
if (phenome != null)
{
double fitness = 0;
for (int i = 0; i < m_optimizer.Trials; i++)
{
fitness += fitnessDict[genome][i]._fitness;
}
fitness /= m_optimizer.Trials; // Averaged fitness
genome.EvaluationInfo.SetFitness(fitness);
genome.EvaluationInfo.AuxFitnessArr = fitnessDict[genome][0]._auxFitnessArr;
}
}
Debug.Log("---------------------- End of list evaluation ----------------------");
BraidSimulationManager.evaluationsMade = 0;
}
