Package adams.opt.genetic

Class AbstractGeneticAlgorithm.GeneticAlgorithmJob<T extends AbstractGeneticAlgorithm>

java.lang.Object

adams.core.logging.LoggingObject

adams.multiprocess.AbstractJob

adams.opt.genetic.AbstractGeneticAlgorithm.GeneticAlgorithmJob<T>

All Implemented Interfaces:

CleanUpHandler, LoggingSupporter, SizeOfHandler, Stoppable, StoppableWithFeedback, Job, JobWithOwner<T>, Serializable

Direct Known Subclasses:

AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob

Enclosing class:

AbstractGeneticAlgorithm

public abstract static class AbstractGeneticAlgorithm.GeneticAlgorithmJob<T extends AbstractGeneticAlgorithm>
extends AbstractJob
implements JobWithOwner<T>

A job class specific to genetic algorithms.

Author:

dale

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected int	m_Chromosome	the chromosome index.
protected Double	m_Fitness	the current fitness.
protected T	m_Genetic	the algorithm object this job belongs to.
protected int[]	m_Weights	the weights of the chromosomes (0 = turned off, 1 = turned on).

Fields inherited from class adams.multiprocess.AbstractJob

m_Complete, m_ExecutionError, m_JobCompleteListener, m_JobInfo, m_Stopped

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
GeneticAlgorithmJob(T g, int chromosome, int[] w)	Initializes the job.

Method Summary

Modifier and Type	Method	Description
abstract void	calcNewFitness()	Calculates the new fitness.
void	cleanUp()	Cleans up data structures, frees up memory.
int	getChromosome()	Returns the chromosome index.
Double	getFitness()	Returns the fitness.
T	getOwner()	Returns the algorithm this job belongs to.
int[]	getWeights()	Returns the current weights of the attributes.
protected String	postProcessCheck()	Checks whether all post-conditions have been met.
protected String	preProcessCheck()	Checks whether all pre-conditions have been met.
protected void	process()	Does the actual execution of the job.
String	toString()	Returns a string representation of the job.
String	weightsToString()	Turns the weights into a string representation.
static String	weightsToString(int[] weights)	Turns the weights into a string representation.

Methods inherited from class adams.multiprocess.AbstractJob

execute, getAdditionalErrorInformation, getExecutionError, getJobCompleteListener, getJobInfo, hasExecutionError, isComplete, isStopped, jobCompleted, setJobCompleteListener, setJobInfo, stopExecution

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.multiprocess.Job

execute, getExecutionError, getJobCompleteListener, getJobInfo, hasExecutionError, isComplete, jobCompleted, setJobCompleteListener

Methods inherited from interface adams.core.logging.LoggingSupporter

getLogger, isLoggingEnabled

Methods inherited from interface adams.core.Stoppable

stopExecution

Methods inherited from interface adams.core.StoppableWithFeedback

isStopped

Field Detail

m_Weights

protected int[] m_Weights

the weights of the chromosomes (0 = turned off, 1 = turned on).

m_Genetic

protected T extends AbstractGeneticAlgorithm m_Genetic

the algorithm object this job belongs to.

m_Fitness

protected Double m_Fitness

the current fitness.

m_Chromosome

protected int m_Chromosome

the chromosome index.

Constructor Detail

GeneticAlgorithmJob

public GeneticAlgorithmJob(T g,
                           int chromosome,
                           int[] w)

Initializes the job.

Parameters:

g - the algorithm object this job belongs to

chromosome - the chromsome index

w - the initial weights

Method Detail

getOwner

public T getOwner()

Returns the algorithm this job belongs to.

Specified by:

getOwner in interface JobWithOwner<T extends AbstractGeneticAlgorithm>

Returns:

the owner

getWeights

public int[] getWeights()

Returns the current weights of the attributes.

Returns:

the weights

getChromosome

public int getChromosome()

Returns the chromosome index.

Returns:

the index

getFitness

public Double getFitness()

Returns the fitness.

Returns:

the fitness

weightsToString

public String weightsToString()

Turns the weights into a string representation.

Returns:

the weights as string

weightsToString

public static String weightsToString(int[] weights)

Turns the weights into a string representation.

Parameters:

weights - the weights to turn into string

Returns:

the weights as string

calcNewFitness

public abstract void calcNewFitness()

Calculates the new fitness.

preProcessCheck

protected String preProcessCheck()

Checks whether all pre-conditions have been met.

Specified by:

preProcessCheck in class AbstractJob

Returns:

null if everything is OK, otherwise an error message

process

protected void process()
                throws Exception

Does the actual execution of the job.

Specified by:

process in class AbstractJob

Throws:

Exception - if fails to execute job

postProcessCheck

protected String postProcessCheck()

Checks whether all post-conditions have been met.

Specified by:

postProcessCheck in class AbstractJob

Returns:

always null

cleanUp

public void cleanUp()

Cleans up data structures, frees up memory. Sets the weights and the genetic algorithm to null.

Specified by:

cleanUp in interface CleanUpHandler

Specified by:

cleanUp in interface Job

Overrides:

cleanUp in class AbstractJob

toString

public String toString()

Returns a string representation of the job.

Specified by:

toString in class AbstractJob

Returns:

a string representation