Evolutionary strategies
[Components]

Collaboration diagram for Evolutionary strategies:

Classes
class	FREE::ES::AdaptiveCovarianceMutation< TIndividual >
	Mutation component of a ES. More...
class	FREE::ES::AdaptiveNormalMutation< TIndividual >
	Mutation component of an ES. More...
class	FREE::ES::AdaptiveScaleMutation< TIndividual >
	Mutation component of an ES. More...
class	FREE::ES::AsymmetricMutation< TIndividual >
	Mutation component of an ES. More...
class	FREE::ES::CMAMutation< TIndividual >
	Mutation component of an ES. More...
class	FREE::ES::CommaSelection< TIndividual >
	implements the comma-selection. More...
class	FREE::ES::ComponentBase< TIndividual >
	The abstract basis for supporting components of an ES (e.g. mutator, selection, etc.). More...
class	FREE::ES::DiscriminativeRecombinator< TIndividual >
	The generation of a new individual by individual recombination of objective and strategic parameters. More...
class	FREE::ES::DominantRecombinator< TIndividual >
	The generation of a new individual by dominant recombination. More...
class	FREE::ES::Individual< TOPValueType, TSPValueType, TOValueType >
	The basic indiviual used for evolutionary strategies. More...
class	FREE::ES::IntermediateRecombinator< TIndividual >
	The generation of a new individual by intermediate recombination. More...
class	FREE::ES::MutationBase< TIndividual >
	The abstract basis for mutators of an ES. More...
class	FREE::ES::ParentSelectorBase< TIndividual >
	The abstract basis for supporting components of an ES (e.g. mutator, selection, etc.). More...
class	FREE::ES::PlusSelection< TIndividual >
	implements the plus-selection. More...
class	FREE::ES::Population< TIndividual >
	Basic population used for evolutionary strategies. More...
class	FREE::ES::RandomMultiParentSelector< TIndividual >
	Selects a tuple of parents randomly Selects a tuple of parents randomly out of the population. Every individual of the population has the same chance to be chosen. Number of selections is in ES also known as rho. More...
class	FREE::ES::RankRecombinator< TIndividual >
	The generation of a new individual by weighted recombination. More...
class	FREE::ES::RecombinatorBase< TIndividual >
	The abstract basis for generation of a new individual by recombination. More...
class	FREE::ES::SelectionBase< TIndividual >
	The abstract basis for a selection within a population. More...
class	FREE::ES::StrategicParameter< TValueType >
	The strategic parameter of an indiviual used for evolutionary strategies. More...
class	FREE::ES::StrategicParameters< TSPValueType >
	Collection of strategic parameters used by individuals and populations. More...
class	FREE::ES::EvolutionaryStrategyOptimizer< TIndividual >
	Simple evolutionary strategy optimizer with one population... More...
class	FREE::ES::EvolutionaryStrategyOptimizerBase
	The basis for evolutionary strategy optimizers. More...

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Detailed Description

F.R.E.E. implements a simple an light weighted concept of evolutionary strategies (ES). The ES as offered in F.R.E.E. is used for optimizing purposes and to offer more possibilities then the 1+1-ES-optimizer that comes along with itk. An ES optimizing strategy has always a concept for parent selection, recombination, mutation and population selection. For every concept there is at least one option to choose for establishing a tailored ES.

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