FitnessEvaluation.externalInterpreters.SymbolicRegression
Class SymbolicRegressionJScheme

java.lang.Object
  FitnessEvaluation.InterpretedFitnessEvaluation
      FitnessEvaluation.InterpretedJScheme
          FitnessEvaluation.externalInterpreters.SymbolicRegression.SymbolicRegressionJScheme

All Implemented Interfaces:

FitnessFunction, ParameterI, Stochastic

public class SymbolicRegressionJScheme
extends InterpretedJScheme
implements Stochastic

Evaluates the fitness for the SymbolicRegressionExperiment class. The help class SymRegFunk is used to evaluate the arithmetic expressions.

Author:

michael

Field Summary

Fields inherited from class FitnessEvaluation.InterpretedJScheme

js

Constructor Summary

SymbolicRegressionJScheme()
Creates a new instance of SymbolicRegressionJScheme

Method Summary

RandomNumberGenerator	getRNG() Get the number generator
double	runFile(Phenotype p) Run the phenotype and return the fitness
void	setHead(Range range)
void	setProperties(java.util.Properties p) Set properties
void	setRNG(RandomNumberGenerator m) Set the number generator

Methods inherited from class FitnessEvaluation.InterpretedFitnessEvaluation

canCache, getFitness

Methods inherited from class java.lang.Object

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

Constructor Detail

SymbolicRegressionJScheme

public SymbolicRegressionJScheme()

Creates a new instance of SymbolicRegressionJScheme

Method Detail

setProperties

public void setProperties(java.util.Properties p)

Description copied from interface: ParameterI

Set properties

Specified by:

setProperties in interface ParameterI

Parameters:

p - object containing properties

getRNG

public RandomNumberGenerator getRNG()

Description copied from interface: Stochastic

Get the number generator

Specified by:

getRNG in interface Stochastic

Returns:

number generator

setRNG

public void setRNG(RandomNumberGenerator m)

Description copied from interface: Stochastic

Set the number generator

Specified by:

setRNG in interface Stochastic

Parameters:

m - number generator

setHead

public void setHead(Range range)

runFile

public double runFile(Phenotype p)

Description copied from class: InterpretedFitnessEvaluation

Run the phenotype and return the fitness

Specified by:

runFile in class InterpretedFitnessEvaluation

Parameters:

p - input

Returns:

fitness of input