jenes.stage.operator
Class Scaling<T extends Chromosome>

java.lang.Object
  jenes.stage.AbstractStage<T>
      jenes.stage.operator.Operator<T>
          jenes.stage.operator.Scaling<T>

Direct Known Subclasses:

RankScaling

public abstract class Scaling<T extends Chromosome>
extends Operator<T>

Author:

troiano

Nested Class Summary

Nested classes/interfaces inherited from class jenes.stage.operator.Operator

Operator.Statistics

Field Summary

Fields inherited from class jenes.stage.operator.Operator

random, statistics

Fields inherited from class jenes.stage.AbstractStage

biggerIsBetter, ga

Constructor Summary

Scaling()
Constructs a new mutator instance with the specified mutator probability

Method Summary

void	preprocess(double[] scores, boolean[] legals)
void	process(Population<T> in, Population<T> out) Processes the input population and tranforms it into the output population.
abstract double	scale(Individual<T> ind, int pos)

Methods inherited from class jenes.stage.operator.Operator

getStatistics, updateStatistics

Methods inherited from class jenes.stage.AbstractStage

dispose, init, isBiggerBetter, setBiggerIsBetter, setBiggerIsBetter

Methods inherited from class java.lang.Object

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

Constructor Detail

Scaling

public Scaling()

Constructs a new mutator instance with the specified mutator probability

Parameters:

probability - the mutator probability

Method Detail

process

public final void process(Population<T> in,
                          Population<T> out)
                   throws StageException

Description copied from class: AbstractStage

Processes the input population and tranforms it into the output population. Note: - Out population is made of recicled individuals. There is a need of new individuals to add only when there is a need to increase the population size. For pre-initalized individual just use setAs method. This is done for an efficient memory management. - A stage can modify the input population. So input passed to process method can be mutated when the process method ends.

Specified by:

process in class AbstractStage<T extends Chromosome>

Parameters:

in - the input population

out - the output population

Throws:

StageException

preprocess

public void preprocess(double[] scores,
                       boolean[] legals)

scale

public abstract double scale(Individual<T> ind,
                             int pos)