Grail.Evolution.Mutation Class Reference

The Mutation object that encapsulates the mutation operation and its configuration in evolutionary algorithm. More...

Inheritance diagram for Grail.Evolution.Mutation:

Public Member Functions
void	Perform (in List< Individual > constInputPopulation)
	Attempts to mutate the entire population. The number of mutated individuals is based on mutation phase rate and mutate individual rate. More...

Static Public Member Functions
static Mutation	CreateIdentityMutation ()
	Creates a mutation, called identity mutation, that does not transform the population in any way. More...

Protected Member Functions
virtual void	MutateIndividual (Individual individual)
	The function that performs the mutation operation of one individual. More...
virtual void	MutateGene (Individual individual, BaseEvoParam gene)
	The function that performs the mutation operation of a single parameter within the mutated individual. More...

Properties
MutationSelectionType	RandomResolutionTypeForIndividual [get, set]
	Specifies how individuals for mutations are chosen. See MutationSelectionType. More...
MutationSelectionType	RandomResolutionTypeForGene = MutationSelectionType.SELECT_P_OF_N [get, set]
	Specifies how genes in an individual (already chosen for mutation) are chosen for mutation. See MutationSelectionType. More...
double	MutationPhaseRate = MutationSelectionType.SELECT_P_OF_N [get, set]
	The probability that mutation happens (globally). If a mutation is included in the algorithm, this value should most likely be equal to 1.0. More...
double	MutationIndividualRate = 1.0 [get, set]
	IF RandomResolutionTypeForIndividual == ITERATE_AND_TEST_P: the probability that an individual will be considered for mutation (RandomResolutionTypeForIndividual == ITERATE_AND_TEST_P); IF RandomResolutionTypeForIndividual == SELECT_P_OF_N: the portion of individuals chosen for mutation (RandomResolutionTypeForIndividual == SELECT_P_OF_N). More...
double	MutationGeneRate = 0.09 [get, set]
	IF randomResolutionTypeForGene == ITERATE_AND_TEST_P: the probability that a gene of an individual will be considered for mutation; IF randomResolutionTypeForGene == SELECT_P_OF_N: the portion of genes within an individual chosen for mutation. More...
bool	MutateBothParentsAndChildren = 0.5 [get, set]
	If true: both the previous population and children can be mutated; if false: only the individuals after the crossover can be mutated. More...

Detailed Description

The Mutation object that encapsulates the mutation operation and its configuration in evolutionary algorithm.

Member Function Documentation

CreateIdentityMutation()

static Mutation Grail.Evolution.Mutation.CreateIdentityMutation ( )

inlinestatic

Creates a mutation, called identity mutation, that does not transform the population in any way.

Returns

Returns the identity mutation.

MutateGene()

virtual void Grail.Evolution.Mutation.MutateGene ( Individual  individual, BaseEvoParam  gene  )

inlineprotectedvirtual

The function that performs the mutation operation of a single parameter within the mutated individual.

Parameters

individual	The mutated individual.
gene	The parameter of the individual to be mutated.

MutateIndividual()

virtual void Grail.Evolution.Mutation.MutateIndividual ( Individual  individual )

inlineprotectedvirtual

The function that performs the mutation operation of one individual.

Parameters

individual

The individual to be mutated.

Perform()

void Grail.Evolution.Mutation.Perform ( in List< Individual >  constInputPopulation )

inline

Attempts to mutate the entire population. The number of mutated individuals is based on mutation phase rate and mutate individual rate.

Parameters

constInputPopulation

The population containing individuals that are candidates for the mutation. This population should not be changed. Instead add the results to PopulationAfter.

Property Documentation

MutateBothParentsAndChildren

bool Grail.Evolution.Mutation.MutateBothParentsAndChildren = 0.5

getset

If true: both the previous population and children can be mutated; if false: only the individuals after the crossover can be mutated.

MutationGeneRate

double Grail.Evolution.Mutation.MutationGeneRate = 0.09

getset

IF randomResolutionTypeForGene == ITERATE_AND_TEST_P: the probability that a gene of an individual will be considered for mutation;
IF randomResolutionTypeForGene == SELECT_P_OF_N: the portion of genes within an individual chosen for mutation.

MutationIndividualRate

double Grail.Evolution.Mutation.MutationIndividualRate = 1.0

getset

IF RandomResolutionTypeForIndividual == ITERATE_AND_TEST_P: the probability that an individual will be considered for mutation (RandomResolutionTypeForIndividual == ITERATE_AND_TEST_P);
IF RandomResolutionTypeForIndividual == SELECT_P_OF_N: the portion of individuals chosen for mutation (RandomResolutionTypeForIndividual == SELECT_P_OF_N).

MutationPhaseRate

double Grail.Evolution.Mutation.MutationPhaseRate = MutationSelectionType.SELECT_P_OF_N

getset

The probability that mutation happens (globally). If a mutation is included in the algorithm, this value should most likely be equal to 1.0.

RandomResolutionTypeForGene

MutationSelectionType Grail.Evolution.Mutation.RandomResolutionTypeForGene = MutationSelectionType.SELECT_P_OF_N

getset

Specifies how genes in an individual (already chosen for mutation) are chosen for mutation. See MutationSelectionType.

RandomResolutionTypeForIndividual

MutationSelectionType Grail.Evolution.Mutation.RandomResolutionTypeForIndividual

getset

Specifies how individuals for mutations are chosen. See MutationSelectionType.

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

• GrailEvolution/source/Mutation.cs