DistributedEvolutionaryAlgorithmsFramework
Class FitnessFunction

java.lang.Object
  DistributedEvolutionaryAlgorithmsFramework.FitnessFunction

public abstract class FitnessFunction
extends java.lang.Object

Abstract class for user-defined fitness function

Field Summary

protected double[]	maxRestrictions Array of upper restrictions for all dimensions
protected double[]	minRestrictions Array of lower restrictions for all dimensions
protected int	specimenLength Length of genotype / number of dimensions.

Constructor Summary

FitnessFunction(int length)
Contructor, takes length of genotype/number of dimensions and initializes restriction arrays

Method Summary

abstract double	evaluate(double[] genotype)
abstract double	evaluate(org.apache.hadoop.io.DoubleWritable[] s)
int	getDimensions()
double	getMaxRestriction(int i)
double	getMinRestriction(int i)
double	getRandomValueInDomains(int index)
void	setMaxRestriction(double[] m) Set maximal constraints for each dimension of specimen
void	setMinRestriction(double[] m) Set minimal constraints for each dimension of specimen

Methods inherited from class java.lang.Object

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

Field Detail

specimenLength

protected int specimenLength

Length of genotype / number of dimensions.

minRestrictions

protected double[] minRestrictions

Array of lower restrictions for all dimensions

maxRestrictions

protected double[] maxRestrictions

Array of upper restrictions for all dimensions

Constructor Detail

FitnessFunction

public FitnessFunction(int length)

Contructor, takes length of genotype/number of dimensions and initializes restriction arrays

Parameters:

length - Length of genotype / number of dimensions.

Method Detail

evaluate

public abstract double evaluate(org.apache.hadoop.io.DoubleWritable[] s)

Parameters:

s - Array of DoubleWritables representing genotype

Returns:

value of fitness function for given genotype

evaluate

public abstract double evaluate(double[] genotype)

Parameters:

genotype - Array of doubles representing genotype

Returns:

value of fitness function for given genotype

getMinRestriction

public double getMinRestriction(int i)

Parameters:

i - Number of requested dimension

Returns:

lower restriction for requested dimension

getMaxRestriction

public double getMaxRestriction(int i)

Parameters:

i - Number of requested dimension

Returns:

upper restriction for requested dimension

getDimensions

public int getDimensions()

Returns:

genotype length / number of dimensions

setMinRestriction

public void setMinRestriction(double[] m)

Set minimal constraints for each dimension of specimen

Parameters:

m - Constraints

setMaxRestriction

public void setMaxRestriction(double[] m)

Set maximal constraints for each dimension of specimen

Parameters:

m - Constraints

getRandomValueInDomains

public double getRandomValueInDomains(int index)

Parameters:

index - dimension number

Returns:

random value between restrictions