public StochasticUniversalSampling(IFitnessScalingStrategy <T> fitnessScaling, IGenerator randomNumberGenerator)
{
if (fitnessScaling == null)
{
throw new ArgumentException("The fitness scaling strategy must not be null");
}
this.fitnessScaling = fitnessScaling;
if (randomNumberGenerator == null)
{
throw new ArgumentException("The random number generator must not be null");
}
this.rng = randomNumberGenerator;
}
protected AbstractRemainderSelection(IFitnessScalingStrategy <T> fitnessScaling,
IGenerator randomNumberGenerator)
{
if (fitnessScaling == null)
{
throw new ArgumentException("The fitness scaling strategy must not be null");
}
this.fitnessScaling = fitnessScaling;
if (randomNumberGenerator == null)
{
throw new ArgumentException("The random number generator must not be null");
}
this.RNG = randomNumberGenerator;
}
public RouletteWheelSelection(IFitnessScalingStrategy <T> fitnessScaling, bool allowIdenticalParents,
IGenerator randomNumberGenerator)
{
if (fitnessScaling == null)
{
throw new ArgumentException("The fitness scaling strategy must not be null");
}
this.fitnessScaling = fitnessScaling;
this.allowIdenticalParents = allowIdenticalParents;
if (randomNumberGenerator == null)
{
throw new ArgumentException("The random number generator must not be null");
}
this.rng = randomNumberGenerator;
}
public StochasticUniversalSampling(IFitnessScalingStrategy <T> fitnessScaling) :
this(fitnessScaling, RandomNumberGenerationUtilities.troschuetzRandom)
{
}
/// <summary>
///
/// </summary>
/// <param name="fitnessScaling"></param>
/// <param name="allowIdenticalParents">If set to false and the fitness scaling is too biased towards the fittest
/// individuals, performance will degrade dramatically due to excessive sampling</param>
public RouletteWheelSelection(IFitnessScalingStrategy <T> fitnessScaling, bool allowIdenticalParents = true) :
this(fitnessScaling, allowIdenticalParents, RandomNumberGenerationUtilities.troschuetzRandom)
{
}
public RemainderStochasticSamplingWithReplacement(IFitnessScalingStrategy <T> fitnessScaling,
IGenerator randomNumberGenerator) :
base(fitnessScaling, randomNumberGenerator)
{
}
public RemainderStochasticSamplingWithReplacement(IFitnessScalingStrategy <T> fitnessScaling) :
base(fitnessScaling, RandomNumberGenerationUtilities.troschuetzRandom)
{
}
