/// <summary>
/// Create an initial population.
/// </summary>
/// <param name="rnd">Random number generator.</param>
/// <param name="codec">The codec, the type of network to use.</param>
/// <returns>The population.</returns>
public static IPopulation InitPopulation(IGenerateRandom rnd, RBFNetworkGenomeCODEC codec)
{
// Create a RBF network to get the length.
var network = new RBFNetwork(codec.InputCount, codec.RbfCount, codec.OutputCount);
int size = network.LongTermMemory.Length;
// Create a new population, use a single species.
IPopulation result = new BasicPopulation(PopulationSize, new DoubleArrayGenomeFactory(size));
var defaultSpecies = new BasicSpecies {Population = result};
result.Species.Add(defaultSpecies);
// Create a new population of random networks.
for (int i = 0; i < PopulationSize; i++)
{
var genome = new DoubleArrayGenome(size);
network.Reset(rnd);
Array.Copy(network.LongTermMemory, 0, genome.Data, 0, size);
defaultSpecies.Add(genome);
}
// Set the genome factory to use the double array genome.
result.GenomeFactory = new DoubleArrayGenomeFactory(size);
return result;
}
/**
* @return A random genome.
*/
private DoubleArrayGenome RandomGenome()
{
DoubleArrayGenome genome = new DoubleArrayGenome(PlantUniverse.GenomeSize);
for (int i = 0; i < genome.Count; i++)
{
genome.Data[i] = rnd.NextDouble(0, 1);
}
return genome;
}
/// <summary>
/// Construct a genome based on another genome.
/// </summary>
/// <param name="other">The other genome.</param>
public DoubleArrayGenome(DoubleArrayGenome other)
{
_data = (double[]) other.Data.Clone();
}
public IGenome Encode(IMLMethod phenotype)
{
var rbfNet = (RBFNetwork) phenotype;
var result = new DoubleArrayGenome(Size);
Array.Copy(rbfNet.LongTermMemory, 0, result.Data, 0, _size);
return result;
}
/// <summary>
/// Construct a genome based on another genome.
/// </summary>
/// <param name="other">The other genome.</param>
public DoubleArrayGenome(DoubleArrayGenome other)
{
_data = (double[])other.Data.Clone();
}
