/// <summary>
/// Loads the best genome into all of the agents.
/// </summary>
void LoadBestGenomes()
{
JsonWriterReader.GenomeData data = LoadBestGenome();
NeuralNetwork neuralNetwork = new NeuralNetwork();
if (data != null)
{//if the data isn't null
//create the best genome
Genome genome = _geneticAlgorithm.CreateGenomeFromData(LoadBestGenome());
//set up a neural network with that genome
neuralNetwork.SetupFromGenome(genome, _networkStructure);
for (int i = 0; i < _agents.Count; i++)
{//set each member with that network
_agents[i].InitializeNeuralNetwork(neuralNetwork);
}
}
else
{//otherwise create a new neural network for each memeber.
for (int i = 0; i < _agents.Count; i++)
{
neuralNetwork.Create(_networkStructure);
_agents[i].InitializeNeuralNetwork(neuralNetwork);
}
}
}
void SetupBestGenomes()
{
FileIO.GenomeData data = LoadBestGenome();
NeuralNetwork neuralNetwork = new NeuralNetwork();
if (data != null)
{
Genome genome = geneticAlgorithm.CreateGenomeFromData(LoadBestGenome());
neuralNetwork.SetFromGenomes(genome, neuralNet);
for (int i = 0; i < nnAgents.Count; i++)
{
nnAgents[i].InitializeNeuralNetwork(neuralNetwork);
}
}
else
{
for (int i = 0; i < nnAgents.Count; i++)
{
neuralNetwork.Create(neuralNet);
nnAgents[i].InitializeNeuralNetwork(neuralNetwork);
}
}
}
