Class CMAESOptimizer.Sigma

java.lang.Object
org.hipparchus.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
All Implemented Interfaces:
OptimizationData
Enclosing class:
CMAESOptimizer

public static class CMAESOptimizer.Sigma extends Object implements OptimizationData
Input sigma values. They define the initial coordinate-wise standard deviations for sampling new search points around the initial guess. It is suggested to set them to the estimated distance from the initial to the desired optimum. Small values induce the search to be more local (and very small values are more likely to find a local optimum close to the initial guess). Too small values might however lead to early termination.
  • Constructor Details

  • Method Details

    • getSigma

      public double[] getSigma()
      Get sigma values.
      Returns:
      the sigma values