/// <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);
}
/**
* Create the initial random population.
*
* @return The population.
*/
private IPopulation InitPopulation()
{
IPopulation result = new BasicPopulation(PlantUniverse.PopulationSize, null);
BasicSpecies defaultSpecies = new BasicSpecies();
defaultSpecies.Population = result;
for (int i = 0; i < PlantUniverse.PopulationSize; i++)
{
DoubleArrayGenome genome = RandomGenome();
defaultSpecies.Add(genome);
}
result.GenomeFactory = new DoubleArrayGenomeFactory(PlantUniverse.GenomeSize);
result.Species.Add(defaultSpecies);
return(result);
}
/// <summary>
/// Create an initial random population of random paths through the cities.
/// </summary>
/// <param name="rnd">The random population.</param>
/// <returns>The population</returns>
private IPopulation InitPopulation(IGenerateRandom rnd)
{
IPopulation result = new BasicPopulation(PopulationSize, null);
var defaultSpecies = new BasicSpecies();
defaultSpecies.Population = result;
for (int i = 0; i < PopulationSize; i++)
{
IntegerArrayGenome genome = RandomGenome(rnd);
defaultSpecies.Add(genome);
}
result.GenomeFactory = new IntegerArrayGenomeFactory(_cities.Length);
result.Species.Add(defaultSpecies);
return(result);
}
/// <summary>
/// Create an initial random population.
/// </summary>
/// <param name="rnd">A random number generator.</param>
/// <param name="eval">The expression evaluator.</param>
/// <returns>The new population.</returns>
private IPopulation InitPopulation(IGenerateRandom rnd, EvaluateExpression eval)
{
IPopulation result = new BasicPopulation(PopulationSize, null);
var defaultSpecies = new BasicSpecies();
defaultSpecies.Population = result;
for (int i = 0; i < PopulationSize; i++)
{
TreeGenome genome = RandomGenome(rnd, eval);
defaultSpecies.Add(genome);
}
result.GenomeFactory = new TreeGenomeFactory(eval);
result.Species.Add(defaultSpecies);
return(result);
}
/// <summary>
/// Create an initial random population.
/// </summary>
public void Reset()
{
// create the genome factory
if (IsHyperNEAT)
{
CODEC = new HyperNEATCODEC();
GenomeFactory = new FactorHyperNEATGenome();
}
else
{
CODEC = new NEATCODEC();
GenomeFactory = new FactorNEATGenome();
}
// create the new genomes
Species.Clear();
// reset counters
GeneIdGenerate.CurrentID = 1;
InnovationIDGenerate.CurrentID = 1;
EncogRandom rnd = RandomNumberFactory.Factor();
// create one default species
BasicSpecies defaultSpecies = new BasicSpecies();
defaultSpecies.Population = this;
// create the initial population
for (int i = 0; i < PopulationSize; i++)
{
NEATGenome genome = GenomeFactory.Factor(rnd, this,
InputCount, OutputCount,
InitialConnectionDensity);
defaultSpecies.Add(genome);
}
defaultSpecies.Leader = defaultSpecies.Members[0];
Species.Add(defaultSpecies);
// create initial innovations
Innovations = new NEATInnovationList(this);
}