public double[] GetChampOutput(int nodeDepth, int nodeSiblingNum, int maxDepth, int maxBranching)
{
IGenomeDecoder <NeatGenome, IBlackBox> decoder = experiment.CreateGenomeDecoder();
IBlackBox box = decoder.Decode(contentEA.CurrentChampGenome);
// Normalize nodeDepth and nodeSiblingNum to range of 0-1. This may affect outputs?
double normDepth = (double)nodeDepth / (double)maxDepth;
double normSib;
if (nodeDepth == 0)
{
normSib = 0; // Only one node at depth 0, prevent a divide by 0 error
}
else
{
normSib = (double)nodeSiblingNum / (double)(Mathf.Pow(maxBranching, nodeDepth) - 1);
}
box.InputSignalArray[0] = normDepth;
box.InputSignalArray[1] = normSib;
box.ResetState();
box.Activate();
//Debug.Log("(" + normDepth + "," + normSib + ") -> (" + box.OutputSignalArray[0] + "," + box.OutputSignalArray[1] + "," + box.OutputSignalArray[2] + ","
//+ box.OutputSignalArray[3] + "," + box.OutputSignalArray[4] + "," + box.OutputSignalArray[5] + ")");
double[] outputs = new double[box.OutputCount];
for (int i = 0; i < box.OutputCount; i++)
{
outputs[i] = box.OutputSignalArray[i];
}
return(outputs);
}
public static IBlackBox LoadBrain(string filePath, INeatExperiment experiment)
{
NeatGenome genome = null;
// Try to load the genome from the XML document.
try
{
using (XmlReader xr = XmlReader.Create(filePath))
genome = NeatGenomeXmlIO.ReadCompleteGenomeList(xr, false, (NeatGenomeFactory)experiment.CreateGenomeFactory())[0];
}
catch (Exception e1)
{
print(filePath + " Error loading genome from file!\nLoading aborted.\n"
+ e1.Message + "\nJoe: " + filePath);
return(null);
}
// Get a genome decoder that can convert genomes to phenomes.
var genomeDecoder = experiment.CreateGenomeDecoder();
// Decode the genome into a phenome (neural network).
var phenome = genomeDecoder.Decode(genome);
return(phenome);
}
//public static IBlackBox LoadBrain(string filePath)
//{
// OptimizationExperiment experiment = new OptimizationExperiment();
// XmlDocument xmlConfig = new XmlDocument();
// TextAsset textAsset = (TextAsset)Resources.Load("phototaxis.config");
// // xmlConfig.Load(OptimizerParameters.ConfigFile);
// xmlConfig.LoadXml(textAsset.text);
// // experiment.SetOptimizer(this);
// experiment.Initialize(OptimizerParameters.Name, xmlConfig.DocumentElement, OptimizerParameters.NumInputs, OptimizerParameters.NumOutputs);
// return LoadBrain(filePath, experiment);
//}
public static IBlackBox LoadBrain(string filePath, INeatExperiment experiment)
{
NeatGenome genome = null;
// Try to load the genome from the XML document.
try
{
using (XmlReader xr = XmlReader.Create(filePath))
genome = NeatGenomeXmlIO.ReadCompleteGenomeList(xr, false, (NeatGenomeFactory)experiment.CreateGenomeFactory())[0];
}
catch (Exception e1)
{
print(filePath + " Error loading genome from file!\nLoading aborted.\n"
+ e1.Message + "\nJoe: " + filePath);
return null;
}
// Get a genome decoder that can convert genomes to phenomes.
var genomeDecoder = experiment.CreateGenomeDecoder();
// Decode the genome into a phenome (neural network).
var phenome = genomeDecoder.Decode(genome);
return phenome;
}
