/// <summary>
/// Initialises a new agent from given genotype, constructing a new feedfoward neural network from
/// the parameters of the genotype.
/// </summary>
/// <param name="genotype">The genotpye to initialise this agent from.</param>
/// <param name="topology">The topology of the feedforward neural network to be constructed from given genotype.</param>
public Agent(Genotype genotype, NeuralLayer.ActivationFunction defaultActivation, params uint[] topology)
{
IsAlive = false;
this.Genotype = genotype;
FNN = new NeuralNetwork(topology);
foreach (NeuralLayer layer in FNN.Layers)
{
layer.NeuronActivationFunction = defaultActivation;
}
//Check if topology is valid
if (FNN.WeightCount != genotype.ParameterCount)
{
throw new ArgumentException("The given genotype's parameter count must match the neural network topology's weight count.");
}
//Construct FNN from genotype
IEnumerator <float> parameters = genotype.GetEnumerator();
foreach (NeuralLayer layer in FNN.Layers) //Loop over all layers
{
for (int i = 0; i < layer.Weights.GetLength(0); i++) //Loop over all nodes of current layer
{
for (int j = 0; j < layer.Weights.GetLength(1); j++) //Loop over all nodes of next layer
{
layer.Weights[i, j] = parameters.Current;
parameters.MoveNext();
}
}
}
}
public static Agent LoadFromFile(string filePath)
{
AgentData ad = Save.ReadFromXmlFile <AgentData>(filePath);
NeuralLayer.ActivationFunction af = NeuralLayer.GetActivitionFunction(ad.activationFunctionType);
return(new Agent(ad.genotype, af, ad.useRNN, ad.topology));
}
public void CreateAgents(out List <Agent> agents, IEnumerable <Genotype> population)
{
//Create new agents from currentPopulation
agents = new List <Agent>();
NeuralLayer.ActivationFunction af = NeuralLayer.GetActivitionFunction(activationFunctionType);
foreach (Genotype genotype in population)
{
agents.Add(new Agent(genotype, af, useRNN, NNTopology));
}
isNewAgents = true;
}
/// <summary>
/// 构造遗传代理
/// </summary>
/// <param name="_genotype">基因</param>
/// <param name="_activation">激活函数</param>
/// <param name="_topogy">拓扑结构</param>
public Agent(Genotype _genotype, NeuralLayer.ActivationFunction _activation, params uint[] _topogy)
{
Genotype = _genotype;
FNN = new NeuralNetwork(_topogy);
foreach (NeuralLayer layer in FNN.Layers)
{
layer.NeuronActivationFunction = _activation;
}
if(FNN.WeightCount != _genotype.ParameterCount)
throw new ArgumentException("WeightCount != Topology");
//使用基因参数初始化神经网络
IEnumerator<float> parameters = _genotype.GetEnumerator();
foreach (NeuralLayer layer in FNN.Layers)
{
for (int i = 0; i < layer.Weights.GetLength(0); i++)
{
for (int j = 0; j < layer.Weights.GetLength(1); j++)
{
layer.Weights[i, j] = parameters.Current;
parameters.MoveNext();
}
}
}
}
