| edoAlgo< D > | An EDO algorithm differs from a canonical EO algorithm because it is templatized on a Distribution rather than just an EOT |
| edoAlgoAdaptive< D > | A generic stochastic search template for algorithms that need a distribution parameter |
| edoAlgoStateless< D > | A generic stochastic search template for algorithms that need a distribution parameter but replace it rather than update it |
| edoBounder< EOT > | The interface of a set of classes that modifies a solution so as to respect a given set of bounds (typically an hypercube) |
| edoBounderBound< EOT > | A bounder that correct an incorrect variable by setting it to the min/max |
| edoBounderNo< EOT > | A bounder that does nothing |
| edoBounderRng< EOT > | A bounder that randomly draw new values for variables going out bounds, using an eoRng to do so |
| edoBounderUniform< EOT > | A bounder that randomly draw new values for variables going out bounds, in a given uniform distribution |
| edoCheckPoint< D > | EoCheckPoint< EOT > classe fitted to Distribution Object library |
| edoContinue< D > | A continuator that check the state of an edoDistrib |
| edoDistrib< EOT > | Base class for distributions |
| edoDistribStat< D > | A parent class for any kind of distribution to dump parameter to std::string type |
| edoEDASA< D > | EdoEDASA< D > |
| edoEstimator< D > | Base class for estimators |
| edoEstimatorAdaptive< D > | An interface that explicits the needs for a permanent distribution that will be updated by operators |
| edoEstimatorNormalAdaptive< EOT, D > | An estimator that works on adaptive normal distributions, basically the heart of the CMA-ES algorithm |
| edoEstimatorNormalMono< EOT > | An estimator for edoNormalMono |
| edoEstimatorNormalMulti< EOT, D > | An estimator for edoNormalMulti |
| edoEstimatorUniform< EOT > | An estimator for edoUniform |
| edoFileSnapshot | EdoFileSnapshot |
| edoHyperVolume< EOT > | EdoHyperVolume |
| edoModifier< D > | A functor to arbitrarly modify a distribution |
| edoModifierDispersion< D > | An semantic pseudo-interface for modifiers that updates dispersion parameters (like variance) |
| edoModifierMass< D > | An semantic pseudo-interface for modifiers that updates mass parameters (like mean) |
| edoNormalAdaptive< EOT > | A normal distribution that can be updated via several components |
| edoNormalMono< EOT > | A normal (Gaussian) distribution that only model variances of variables |
| edoNormalMonoCenter< EOT > | Change a distribution's mean for a given EOT |
| edoNormalMulti< EOT > | A multi-normal distribution, that models co-variances |
| edoNormalMultiCenter< EOT, D > | Changes a given distribution's mean by a given EOT |
| edoPopStat< EOT > | Thanks to MS/VC++, eoParam mechanism is unable to handle std::vectors of stats |
| edoRepairer< EOT > | The interface of a set of classes that modifies an unfeasible candidate solution so as to respect a given set of constraints and thus make a feasible solution |
| edoRepairerApply< EOT, F > | Interface for applying an arbitrary unary function as a repairer on each item of the solution |
| edoRepairerApplyBinary< EOT, F > | Apply an arbitrary binary function as a repairer on each item of the solution, the second argument of the function being fixed and given at instanciation |
| edoRepairerApplyUnary< EOT, F > | Apply an arbitrary unary function as a repairer on each item of the solution |
| edoRepairerCeil< EOT > | A repairer that calls "ceil" on each items of a solution |
| edoRepairerFloor< EOT > | A repairer that calls "floor" on each items of a solution |
| edoRepairerModulo< EOT > | Repair an EOT container by applying the standard modulo function on it |
| edoRepairerRound< EOT > | A repairer that do a rounding around val+0.5 |
| edoRepairerRoundDecimals< EOT > | A repairer that round values at a given a precision |
| edoSampler< D > | Base class for samplers |
| edoSamplerNormalAdaptive< EOT, D > | Sample points in a multi-normal law defined by a mean vector, a covariance matrix, a sigma scale factor and evolution paths |
| edoSamplerNormalMono< EOT, D > | A sampler for edoNormalMono |
| edoSamplerNormalMulti< EOT, D > | Sample points in a multi-normal law defined by a mean vector and a covariance matrix |
| edoSamplerUniform< EOT, D > | This class uses the Uniform distribution parameters (bounds) to return a random position used for population sampling |
| edoStatBase< D > | EdoStatBase< D > |
| edoStatNormalMono< EOT > | EdoStatNormalMono< EOT > |
| edoStatNormalMulti< EOT > | EdoStatNormalMulti< EOT > |
| edoStatUniform< EOT > | EdoStatUniform< EOT > |
| edoUniform< EOT > | A uniform distribution |
| edoUniformCenter< EOT > | Modify an edoUniform distribution by centering its bounds around a given EOT |
| edoVectorBounds< EOT > | A class that holds min and max bounds vectors |
1.7.6.1 
