/// <summary>
/// Saves the AI Data collected at the end of each run.
/// </summary>
void SaveAI_Data()
{
List <JsonWriterReader.AI_Data> aiData = new List <JsonWriterReader.AI_Data>(_units.Count);
int nnAveragePoints = 0;
int aiAveragePoints = 0;
int nnTotalPoints = 0;
int aiTotalPoints = 0;
for (int i = 0; i < _units.Count; i++)
{
aiData.Add(new JsonWriterReader.AI_Data(_units[i].type.ToString(), _units[i].points));
if (_units[i].type == UnitType.NeuralNetwork)
{
nnTotalPoints += _units[i].points;
}
else
{
aiTotalPoints += _units[i].points;
}
}
int halfPopulation = (int)(_units.Count * 0.5f);
nnAveragePoints = nnTotalPoints / halfPopulation;
aiAveragePoints = aiTotalPoints / halfPopulation;
JsonWriterReader.GameData gameData = new JsonWriterReader.GameData(aiData, _units[0].type.ToString(), nnAveragePoints, aiAveragePoints, nnTotalPoints, aiTotalPoints);
string path = "GameDataTest" + _testsRan;
JsonWriterReader.WriteJson(path + ".json", ref gameData);
}
/// <summary>
/// Saves currently the best genome
/// </summary>
void SaveEvolutionData()
{
JsonWriterReader.EvolutionData data = new JsonWriterReader.EvolutionData(_dataTracked, _genomesLeftAlive, _geneticAlgorithm.timesLegendUsed);
string path = "EvolutionData" + _testsRan;
JsonWriterReader.WriteJson(path + ".json", ref data);
}
/// <summary>
/// Saves currently the best genome
/// </summary>
void SaveBestGenome()
{
Genome bestGenome = _geneticAlgorithm.GetBestGenome();
JsonWriterReader.GenomeData data = new JsonWriterReader.GenomeData(bestGenome.weights);
string path = "BestGenomeWeights-" + data.weights.Count + "_Generation-" + _geneticAlgorithm.generation;
JsonWriterReader.WriteJson(path + ".json", ref data);
}
/// <summary>
/// Loads genome based on the information provided
/// </summary>
JsonWriterReader.GenomeData LoadBestGenome()
{
string path = "BestGenomeWeights-" + _geneticAlgorithm.totalWeights + "_Generation-" + _generationToLoad;
return(JsonWriterReader.ReadJson <JsonWriterReader.GenomeData>(path + ".json"));
}
