examples.gp.symbolicRegression
Class SymbolicRegression

java.lang.Object
  org.jgap.gp.GPProblem
      examples.gp.symbolicRegression.SymbolicRegression

public class SymbolicRegression
extends GPProblem

Nested Class Summary

static class

SymbolicRegression.FormulaFitnessFunction Fitness function for evaluating the produced fomulas, represented as GP programs.

Field Summary

static int	adfArity
static java.lang.String[]	adfFunctions
static java.lang.String	adfType
static boolean	bumpPerfect
static java.lang.Double	bumpValue
static java.util.ArrayList<java.lang.Double>	constants
static double	crossoverProb
protected static java.lang.Double[][]	data
static float	dynamizeArityProb
static long	endTime
static boolean	foundPerfect
static double	functionProb
static java.lang.String[]	functions
static int[]	ignoreVariables
static double	lowerRange
static int	maxCrossoverDepth
static int	maxInitDepth
static int	maxNodes
static int	minInitDepth
static float	mutationProb
static double	newChromsPercent
static int	numEvolutions
static int	numInputVariables
static int	numRows
static java.lang.Integer	outputVariable
static int	populationSize
static java.lang.String	presentation
static int	programCreationMaxTries
static float	reproductionProb
static java.lang.String	returnType
static double	scaleError
static boolean	showPopulation
static boolean	showSimiliar
static long	startTime
static double	stopCriteria
static boolean	terminalWholeNumbers
static int	tournamentSelectorSize
static double	upperRange
static boolean	useADF
static java.lang.String[]	variableNames
static Variable[]	variables
static boolean	verboseOutput

Constructor Summary

SymbolicRegression(GPConfiguration a_conf)

Method Summary

GPGenotype	create() This method is used for setting up the commands and terminals that can be used to solve the problem.
static void	main(java.lang.String[] args) Starts the example.
static void	myOutputSolution(IGPProgram a_best, int gen) Outputs the best solution until now at standard output.
static void	readFile(java.lang.String file)
static java.lang.Double[][]	transposeMatrix(java.lang.Double[][] m)

Methods inherited from class org.jgap.gp.GPProblem

createTree, getGPConfiguration, setGPConfiguration, showTree, showTree

Methods inherited from class java.lang.Object

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

Field Detail

numInputVariables

public static int numInputVariables

variables

public static Variable[] variables

variableNames

public static java.lang.String[] variableNames

outputVariable

public static java.lang.Integer outputVariable

ignoreVariables

public static int[] ignoreVariables

constants

public static java.util.ArrayList<java.lang.Double> constants

numRows

public static int numRows

data

protected static java.lang.Double[][] data

foundPerfect

public static boolean foundPerfect

minInitDepth

public static int minInitDepth

maxInitDepth

public static int maxInitDepth

populationSize

public static int populationSize

maxCrossoverDepth

public static int maxCrossoverDepth

programCreationMaxTries

public static int programCreationMaxTries

numEvolutions

public static int numEvolutions

verboseOutput

public static boolean verboseOutput

maxNodes

public static int maxNodes

functionProb

public static double functionProb

reproductionProb

public static float reproductionProb

mutationProb

public static float mutationProb

crossoverProb

public static double crossoverProb

dynamizeArityProb

public static float dynamizeArityProb

newChromsPercent

public static double newChromsPercent

tournamentSelectorSize

public static int tournamentSelectorSize

lowerRange

public static double lowerRange

upperRange

public static double upperRange

terminalWholeNumbers

public static boolean terminalWholeNumbers

returnType

public static java.lang.String returnType

presentation

public static java.lang.String presentation

adfArity

public static int adfArity

adfType

public static java.lang.String adfType

useADF

public static boolean useADF

functions

public static java.lang.String[] functions

adfFunctions

public static java.lang.String[] adfFunctions

scaleError

public static double scaleError

bumpPerfect

public static boolean bumpPerfect

bumpValue

public static java.lang.Double bumpValue

startTime

public static long startTime

endTime

public static long endTime

stopCriteria

public static double stopCriteria

showPopulation

public static boolean showPopulation

showSimiliar

public static boolean showSimiliar

Constructor Detail

SymbolicRegression

public SymbolicRegression(GPConfiguration a_conf)
                   throws InvalidConfigurationException

Throws:

InvalidConfigurationException

Method Detail

create

public GPGenotype create()
                  throws InvalidConfigurationException

This method is used for setting up the commands and terminals that can be used to solve the problem.

Specified by:

create in class GPProblem

Returns:

GPGenotype

Throws:

InvalidConfigurationException

readFile

public static void readFile(java.lang.String file)

transposeMatrix

public static java.lang.Double[][] transposeMatrix(java.lang.Double[][] m)

main

public static void main(java.lang.String[] args)
                 throws java.lang.Exception

Starts the example.

Throws:

java.lang.Exception

myOutputSolution

public static void myOutputSolution(IGPProgram a_best,
                                    int gen)

Outputs the best solution until now at standard output. This is stolen (and somewhat edited) from GPGenotype.outputSolution which used log4j.

Parameters:

a_best - the fittest ProgramChromosome