com.banda.math.business.evo

Class GeneticAlgorithmBO<H extends Chromosome<C>,C,T>

java.lang.Object

com.banda.math.business.evo.GeneticAlgorithmBO<H,C,T>

public abstract class GeneticAlgorithmBO<H extends Chromosome<C>,C,T>
extends Object

Functional object for genetic algorithm.

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	GeneticAlgorithmBO(EvoRunTask evoRunTask, EvoTaskBO<H,C,T> evoTaskBO, ReflectionProvider<Chromosome<C>> chromosomeRF)

Method Summary

Methods

Modifier and Type	Method and Description
protected void	addNewGenerationChromosome(H newGenerationChromosome) Adds the value to attribute newGenerationChromosomes.
protected void	addNewGenerationChromosomes(Collection<H> newGenerationChromosomes) Adds the value to attribute newGenerationChromosomes.
protected abstract void	crossOver()
protected void	crossOver(H parent1, H parent2, boolean twoOffspringsFlag) Crosses over two parent chromosomes creating one or two new offsprings.
protected Collection<H>	crossOverByType(H parent1, H parent2) Crosses over two chromosomes and produce two offsprings
void	evaluateChromosome(H chromosome)
void	evaluateChromosomes(Collection<H> chromosomes)
void	evolve() Evolves the chromosomes for defined number of steps (generations).
H	getBestChromosome() Gets the actually best chromosome in evolution.
protected EvoChromManipulatorBO<H,C>	getChromManipulatorBO()
protected int	getChromosomeNumber() Gets the number of chromosomes.
protected List<H>	getChromosomes()
EvoRun<C>	getEvoRun()
protected EvoFitnessEvaluatorBO<H,T>	getFitnessEvaluatorBO()
EvoGaSetting	getGaSetting()
protected Double	getMeanFitness() Gets the mean fitness of chromosomes in the current population.
protected double	getMeanScore() Gets the mean score of chromosomes in the current population.
protected int	getNewGenerationChromosomeNumber() Gets the number of chromosomes in new generation.
protected List<H>	getNewGenerationChromosomes()
protected H[]	getNewGenerationChromosomesAsArray()
protected double	getPopulationFitnessSum() Gets the sum of all fitnesses of chromosome in a population.
protected EvoTestSampleGeneratorBO<T>	getTestSampleGeneratorBO()
H	getWorstChromosome() Gets the actually worst chromosome in evolution.
protected void	initFirstGenerationChromosomes()
protected abstract void	mutate()
protected void	mutate(H chromosome) Mutates given chromosome.
protected void	mutateByType(H chromosome) Mutates the code of the chromosome by selected mutation type.
protected void	refreshChromosomes() Replaces the chromosome collection with newly evolved one.
protected void	renormalizeFitnessesGroupIncreasing() Processes the renormalize fitness operation for all chromosomes with group increasing fitness.
protected void	renormalizeFitnessesGroupJumpIncreasing() Processes the renormalize fitness operation for all chromosomes with group jump increasing fitness.
protected void	renormalizeFitnessesStrictlyIncreasing() Processes the renormalize fitness operation for all chromosomes with strictly increasing fitness.
void	setAutoSaveHandler(GeneticAlgorithmBOAutoSaveHandler<C> autoSaveHandler)
protected void	setChromosomes(List<H> chromosomes)
protected void	sortChromosomesByScore() Sorts the chromosomes by their scores.
void	storeResults() Store results (best chromosomes) and actual population if needed.

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneticAlgorithmBO

protected GeneticAlgorithmBO(EvoRunTask evoRunTask,
                  EvoTaskBO<H,C,T> evoTaskBO,
                  ReflectionProvider<Chromosome<C>> chromosomeRF)

Method Detail

evolve

public void evolve()

Evolves the chromosomes for defined number of steps (generations).

setAutoSaveHandler

public void setAutoSaveHandler(GeneticAlgorithmBOAutoSaveHandler<C> autoSaveHandler)

initFirstGenerationChromosomes

protected void initFirstGenerationChromosomes()

setChromosomes

protected void setChromosomes(List<H> chromosomes)

getChromosomes

protected List<H> getChromosomes()

getNewGenerationChromosomes

protected List<H> getNewGenerationChromosomes()

getNewGenerationChromosomesAsArray

protected H[] getNewGenerationChromosomesAsArray()

getNewGenerationChromosomeNumber

protected int getNewGenerationChromosomeNumber()

Gets the number of chromosomes in new generation.

Returns:

The number of new generation chromosomes.

getChromosomeNumber

protected int getChromosomeNumber()

Gets the number of chromosomes.

Returns:

The number of chromosomes.

addNewGenerationChromosome

protected void addNewGenerationChromosome(H newGenerationChromosome)

Adds the value to attribute newGenerationChromosomes.

Parameters:

newGenerationChromosome - The value to add.

addNewGenerationChromosomes

protected void addNewGenerationChromosomes(Collection<H> newGenerationChromosomes)

Adds the value to attribute newGenerationChromosomes.

Parameters:

newGenerationChromosomes - The value to add.

getBestChromosome

public H getBestChromosome()

Gets the actually best chromosome in evolution.

Returns:

The domain object of the actually best chromosome in evolution.

getWorstChromosome

public H getWorstChromosome()

Gets the actually worst chromosome in evolution.

Returns:

The domain object of the actually best chromosome in evolution.

renormalizeFitnessesGroupIncreasing

protected void renormalizeFitnessesGroupIncreasing()

Processes the renormalize fitness operation for all chromosomes with group increasing fitness.

renormalizeFitnessesGroupJumpIncreasing

protected void renormalizeFitnessesGroupJumpIncreasing()

Processes the renormalize fitness operation for all chromosomes with group jump increasing fitness.

renormalizeFitnessesStrictlyIncreasing

protected void renormalizeFitnessesStrictlyIncreasing()

Processes the renormalize fitness operation for all chromosomes with strictly increasing fitness.

getPopulationFitnessSum

protected double getPopulationFitnessSum()

Gets the sum of all fitnesses of chromosome in a population.

Returns:

The sum of all fitnesses of chromosome in a population.

getMeanScore

protected double getMeanScore()

Gets the mean score of chromosomes in the current population.

Returns:

The mean score of chromosomes in the current population.

getMeanFitness

protected Double getMeanFitness()

Gets the mean fitness of chromosomes in the current population.

Returns:

The mean fitness of chromosomes in the current population.

refreshChromosomes

protected void refreshChromosomes()

Replaces the chromosome collection with newly evolved one.

sortChromosomesByScore

protected void sortChromosomesByScore()

Sorts the chromosomes by their scores.

crossOver

protected void crossOver(H parent1,
             H parent2,
             boolean twoOffspringsFlag)

Crosses over two parent chromosomes creating one or two new offsprings.

Parameters:

aParent1 - The first parent chromosome to crossover.

aParent2 - The second parent chromosome to crossover.

aBothFlag - The flag indicating two children offspring.

crossOverByType

protected Collection<H> crossOverByType(H parent1,
                            H parent2)

Crosses over two chromosomes and produce two offsprings

crossOver

protected abstract void crossOver()

mutate

protected void mutate(H chromosome)

Mutates given chromosome.

Parameters:

aChromosomeDO - The chromosome to mutate.

mutateByType

protected void mutateByType(H chromosome)

Mutates the code of the chromosome by selected mutation type.

mutate

protected abstract void mutate()

evaluateChromosome

public void evaluateChromosome(H chromosome)

evaluateChromosomes

public void evaluateChromosomes(Collection<H> chromosomes)

storeResults

public void storeResults()

Store results (best chromosomes) and actual population if needed.

getGaSetting

public EvoGaSetting getGaSetting()

getChromManipulatorBO

protected EvoChromManipulatorBO<H,C> getChromManipulatorBO()

getFitnessEvaluatorBO

protected EvoFitnessEvaluatorBO<H,T> getFitnessEvaluatorBO()

getTestSampleGeneratorBO

protected EvoTestSampleGeneratorBO<T> getTestSampleGeneratorBO()

getEvoRun

public EvoRun<C> getEvoRun()