galib::GaussianMutation< GeneType > Class Template Reference

Performs Gaussian mutation. More...

#include <GaussianMutation.h>

Inheritance diagram for galib::GaussianMutation< GeneType >:

Public Member Functions
	GaussianMutation (double sigma)
	Constructs the mutation operator.
double	getSigma () const
void	mutate (Individual< GeneType > &individual, double mutation_rate) override
	Adds Gaussian noise to the individual's genes.
Public Member Functions inherited from galib::Mutation< GeneType >
virtual	~Mutation ()=default

Detailed Description

template<typename GeneType>
class galib::GaussianMutation< GeneType >

Performs Gaussian mutation.

Adds a random value sampled from a Gaussian distribution (mean=0, std_dev=sigma) to selected genes. This is the standard mutation for real-coded GAs.

Template Parameters

GeneType

The numeric type of the genes.

Definition at line 22 of file GaussianMutation.h.

Constructor & Destructor Documentation

GaussianMutation()

template<typename GeneType >

galib::GaussianMutation< GeneType >::GaussianMutation ( double  sigma )

inlineexplicit

Constructs the mutation operator.

Parameters

sigma

Standard deviation of the Gaussian noise.

Definition at line 30 of file GaussianMutation.h.

Member Function Documentation

getSigma()

template<typename GeneType >

double galib::GaussianMutation< GeneType >::getSigma ( ) const

inline

Definition at line 33 of file GaussianMutation.h.

mutate()

template<typename GeneType >

void galib::GaussianMutation< GeneType >::mutate ( Individual< GeneType > &  individual, double  mutation_rate  )

inlineoverridevirtual

Adds Gaussian noise to the individual's genes.

Parameters

individual	Target individual.
mutation_rate	Probability per gene.

Implements galib::Mutation< GeneType >.

Definition at line 40 of file GaussianMutation.h.

References galib::Individual< GeneType >::getGenotype().

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The documentation for this class was generated from the following file:

• include/operators/mutation/GaussianMutation.h