An estimator that works on adaptive normal distributions, basically the heart of the CMA-ES algorithm. More...
#include <edoEstimatorNormalAdaptive.h>
Public Types | |
| typedef EOT::AtomType | AtomType |
| typedef D::Vector | Vector |
| typedef D::Matrix | Matrix |
Public Member Functions | |
| edoEstimatorNormalAdaptive (D &distrib) | |
| void | resetCalls () |
| edoNormalAdaptive< EOT > | operator() (eoPop< EOT > &pop) |
Protected Attributes | |
| unsigned int | _calls |
| unsigned int | _eigeneval |
Private Member Functions | |
| Eigen::VectorXd | edoCMAESweights (unsigned int pop_size) |
An estimator that works on adaptive normal distributions, basically the heart of the CMA-ES algorithm.
Definition at line 48 of file edoEstimatorNormalAdaptive.h.