GeneticAlgorithmBO (banda-math 0.6.0 API)

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 EvoFitnessEvaluator<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 EvoFitnessEvaluator<H,T> getFitnessEvaluatorBO()
```
  - getTestSampleGeneratorBO
```
protected EvoTestSampleGeneratorBO<T> getTestSampleGeneratorBO()
```
  - getEvoRun
```
public EvoRun<C> getEvoRun()
```

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

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

GeneticAlgorithmBO

Method Detail

evolve

setAutoSaveHandler

initFirstGenerationChromosomes

setChromosomes

getChromosomes

getNewGenerationChromosomes

getNewGenerationChromosomesAsArray

getNewGenerationChromosomeNumber

getChromosomeNumber

addNewGenerationChromosome

addNewGenerationChromosomes

getBestChromosome

getWorstChromosome

renormalizeFitnessesGroupIncreasing

renormalizeFitnessesGroupJumpIncreasing

renormalizeFitnessesStrictlyIncreasing

getPopulationFitnessSum

getMeanScore

getMeanFitness

refreshChromosomes

sortChromosomesByScore

crossOver

crossOverByType

crossOver

mutate

mutateByType

mutate

evaluateChromosome

evaluateChromosomes

storeResults

getGaSetting

getChromManipulatorBO

getFitnessEvaluatorBO

getTestSampleGeneratorBO

getEvoRun