de.kumpe.hadooptimizer.impl
Class GaussionMutatorBase

java.lang.Object
  de.kumpe.hadooptimizer.impl.GaussionMutatorBase

All Implemented Interfaces:

EsWrappableMutator, NeedsRandomGenerator, Serializable

Direct Known Subclasses:

GaussianMutator

public abstract class GaussionMutatorBase
extends Object
implements EsWrappableMutator, NeedsRandomGenerator

Base class for Mutators based on gaussian random number.

Author:

Christian Kumpe

See Also:

Serialized Form

Field Summary

protected org.apache.commons.math.random.RandomGenerator	randomGenerator
protected double	standardDeviation

Constructor Summary

GaussionMutatorBase(double standardDeviation)

Method Summary

double	getMinIncrement() Returns the minimal allowed increment.
double[]	mutate(double[] individual, double standardDeviation) Mutates the given individual with the specified increment.
protected double	nextGaussian(double standardDeviation) Produces a normal distributed random number with the given standard deviation.
void	setRandomGenerator(org.apache.commons.math.random.RandomGenerator randomGenerator) Injects a RandomGenerator instance.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

randomGenerator

protected transient org.apache.commons.math.random.RandomGenerator randomGenerator

standardDeviation

protected final double standardDeviation

Constructor Detail

GaussionMutatorBase

public GaussionMutatorBase(double standardDeviation)

Method Detail

setRandomGenerator

public void setRandomGenerator(org.apache.commons.math.random.RandomGenerator randomGenerator)

Description copied from interface: NeedsRandomGenerator

Injects a RandomGenerator instance.

Specified by:

setRandomGenerator in interface NeedsRandomGenerator

Parameters:

randomGenerator - the new RandomGenerator instance

mutate

public double[] mutate(double[] individual,
                       double standardDeviation)

Description copied from interface: EsWrappableMutator

Mutates the given individual with the specified increment.

Specified by:

mutate in interface EsWrappableMutator

Parameters:

individual - the individual to mutate

standardDeviation - the increment for the mutation (mainly the standard deviation of a normal distributed random number)

Returns:

the mutant

nextGaussian

protected final double nextGaussian(double standardDeviation)

Produces a normal distributed random number with the given standard deviation.

getMinIncrement

public double getMinIncrement()

Description copied from interface: EsWrappableMutator

Returns the minimal allowed increment. In the evolution strategies automatic increment adaption the ist the increment's lower bound.

Specified by:

getMinIncrement in interface EsWrappableMutator

Returns:

the minimal allowed increment