// TODO: Consider Laplacian distribution.
/// <summary>
/// Create a weight mutation strategy that applies deltas to a random subset of weights, with deltas sampled from a gaussian distribution.
/// </summary>
/// <param name="selectionStrategy">Weight selection strategy.</param>
/// <param name="stdDev">Gaussian standard deviation.</param>
/// <returns>A new instance of <see cref="DeltaWeightMutationStrategy"/>.</returns>
public static DeltaWeightMutationStrategy CreateGaussianDeltaStrategy(
ISubsetSelectionStrategy selectionStrategy,
double stdDev)
{
var sampler = GaussianDistributionSamplerFactory.CreateStatelessSampler <double>(0, stdDev);
return(new DeltaWeightMutationStrategy(selectionStrategy, sampler));
}
// TODO: Consider Laplacian distribution.
/// <summary>
/// Create a weight mutation strategy that replaces a random subset of weights, with new weights sampled
/// from a Gaussian distribution.
/// </summary>
/// <param name="selectionStrategy">Weight selection strategy.</param>
/// <param name="stdDev">Gaussian standard deviation.</param>
/// <returns>A new instance of <see cref="ResetWeightMutationStrategy{T}"/>.</returns>
public static ResetWeightMutationStrategy <T> CreateGaussianResetStrategy(
ISubsetSelectionStrategy selectionStrategy,
double stdDev)
{
var sampler = GaussianDistributionSamplerFactory.CreateStatelessSampler <T>(0, stdDev);
return(new ResetWeightMutationStrategy <T>(selectionStrategy, sampler));
}
