ec.gp.koza

Class KozaFitness

java.lang.Object

ec.Fitness

ec.gp.koza.KozaFitness

All Implemented Interfaces:

Prototype, Setup, Serializable, Cloneable, Comparable

public class KozaFitness
extends Fitness

KozaFitness is a Fitness which stores an individual's fitness as described in Koza I. Well, almost. In KozaFitness, standardized fitness and raw fitness are considered the same (there are different methods for them, but they return the same thing). Standardized fitness ranges from 0.0 inclusive (the best) to infinity exclusive (the worst). Adjusted fitness converts this, using the formula adj_f = 1/(1+f), into a scale from 0.0 exclusive (worst) to 1.0 inclusive (best). While it's the standardized fitness that is stored, it is the adjusted fitness that is printed out. This is all just convenience stuff anyway; selection methods generally don't use these fitness values but instead use the betterThan and equalTo methods.

Default Base
gp.koza.fitness

Version:

1.0

Author:

Sean Luke

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
int	hits This auxillary measure is used in some problems for additional information.
static String	P_KOZAFITNESS
protected double	standardizedFitness This ranges from 0 (best) to infinity (worst).

Fields inherited from class ec.Fitness

context, FITNESS_PREAMBLE, P_FITNESS, trials

Constructor Summary

Constructors

Constructor and Description
KozaFitness()

Method Summary

Methods

Modifier and Type	Method and Description
double	adjustedFitness() Returns the adjusted fitness metric, which recasts the fitness to the half-open interval (0,1], where 1 is ideal and 0 is worst.
boolean	betterThan(Fitness _fitness) Should return true if this fitness is clearly better than _fitness; You may assume that _fitness is of the same class as yourself.
Parameter	defaultBase() Returns the default base for this prototype.
boolean	equivalentTo(Fitness _fitness) Should return true if this fitness is in the same equivalence class as _fitness, that is, neither is clearly better or worse than the other.
double	fitness() Returns the adjusted fitness metric, which recasts the fitness to the half-open interval (0,1], where 1 is ideal and 0 is worst.
String	fitnessToString() Print to a string the fitness in a fashion intended to be parsed in again via readFitness(...).
String	fitnessToStringForHumans() Print to a string the fitness in a fashion readable by humans, and not intended to be parsed in again.
boolean	isIdealFitness() Should return true if this is a good enough fitness to end the run
double	rawFitness() Deprecated. use standardizedFitness()
void	readFitness(EvolutionState state, DataInput dataInput) Reads the binary form of an individual from a DataInput.
void	readFitness(EvolutionState state, LineNumberReader reader) Reads in the fitness from a form outputted by fitnessToString() and thus printFitnessForHumans(...).
void	setFitness(EvolutionState state, double _f) Deprecated.
void	setStandardizedFitness(EvolutionState state, double _f) Set the standardized fitness in the half-open interval [0.0,infinity) which is defined (NOTE: DIFFERENT FROM fitness()!!!) as 0.0 being the IDEAL and infinity being worse than the worst possible.
void	setToMeanOf(EvolutionState state, Fitness[] fitnesses) Sets the fitness to be the same value as the mean of the provided fitnesses.
void	setup(EvolutionState state, Parameter base) Sets up the object by reading it from the parameters stored in state, built off of the parameter base base.
double	standardizedFitness() Returns the standardized fitness metric.
void	writeFitness(EvolutionState state, DataOutput dataOutput) Writes the binary form of an individual out to a DataOutput.

Methods inherited from class ec.Fitness

clone, compareTo, contextIsBetterThan, getContext, merge, printFitness, printFitness, printFitness, printFitnessForHumans, printFitnessForHumans, readTrials, setContext, setContext, setToBestOf, setToMedianOf, writeTrials

Methods inherited from class java.lang.Object

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

Field Detail

P_KOZAFITNESS

public static final String P_KOZAFITNESS

See Also:

Constant Field Values

standardizedFitness

protected double standardizedFitness

This ranges from 0 (best) to infinity (worst). I define it here as equivalent to the standardized fitness.

hits

public int hits

This auxillary measure is used in some problems for additional information. It's a traditional feature of Koza-style GP, and so although I think it's not very useful, I'll leave it in anyway.

Constructor Detail

KozaFitness

public KozaFitness()

Method Detail

defaultBase

public Parameter defaultBase()

Description copied from interface: Prototype

Returns the default base for this prototype. This should generally be implemented by building off of the static base() method on the DefaultsForm object for the prototype's package. This should be callable during setup(...).

setFitness

public void setFitness(EvolutionState state,
              double _f)

Deprecated.

Do not use this function. Use the identical setStandardizedFitness() instead. The reason for the name change is that fitness() returns a differently-defined value than setFitness() sets, ugh.

setStandardizedFitness

public void setStandardizedFitness(EvolutionState state,
                          double _f)

Set the standardized fitness in the half-open interval [0.0,infinity) which is defined (NOTE: DIFFERENT FROM fitness()!!!) as 0.0 being the IDEAL and infinity being worse than the worst possible. This is the GP tradition. The fitness() function instead will output the equivalent of Adjusted Fitness.

fitness

public double fitness()

Returns the adjusted fitness metric, which recasts the fitness to the half-open interval (0,1], where 1 is ideal and 0 is worst. Same as adjustedFitness().

Specified by:

fitness in class Fitness

rawFitness

public double rawFitness()

Deprecated. use standardizedFitness()

Returns the raw fitness metric.

standardizedFitness

public double standardizedFitness()

Returns the standardized fitness metric.

adjustedFitness

public double adjustedFitness()

Returns the adjusted fitness metric, which recasts the fitness to the half-open interval (0,1], where 1 is ideal and 0 is worst. This metric is used when printing the fitness out.

setup

public void setup(EvolutionState state,
         Parameter base)

Description copied from interface: Prototype

Sets up the object by reading it from the parameters stored in state, built off of the parameter base base. If an ancestor implements this method, be sure to call super.setup(state,base); before you do anything else.

For prototypes, setup(...) is typically called once for the prototype instance; cloned instances do not receive the setup(...) call. setup(...) may be called more than once; the only guarantee is that it will get called at least once on an instance or some "parent" object from which it was ultimately cloned.

Specified by:

setup in interface Prototype

Specified by:

setup in interface Setup

Overrides:

setup in class Fitness

isIdealFitness

public boolean isIdealFitness()

Description copied from class: Fitness

Should return true if this is a good enough fitness to end the run

Specified by:

isIdealFitness in class Fitness

equivalentTo

public boolean equivalentTo(Fitness _fitness)

Description copied from class: Fitness

Should return true if this fitness is in the same equivalence class as _fitness, that is, neither is clearly better or worse than the other. You may assume that _fitness is of the same class as yourself. For any two fitnesses fit1 and fit2 of the same class, it must be the case that fit1.equivalentTo(fit2) == fit2.equivalentTo(fit1), and that only one of fit1.betterThan(fit2), fit1.equivalentTo(fit2), and fit2.betterThan(fit1) can be true.

Specified by:

equivalentTo in class Fitness

betterThan

public boolean betterThan(Fitness _fitness)

Description copied from class: Fitness

Should return true if this fitness is clearly better than _fitness; You may assume that _fitness is of the same class as yourself. For any two fitnesses fit1 and fit2 of the same class, it must be the case that fit1.equivalentTo(fit2) == fit2.equivalentTo(fit1), and that only one of fit1.betterThan(fit2), fit1.equivalentTo(fit2), and fit2.betterThan(fit1) can be true.

Specified by:

betterThan in class Fitness

fitnessToString

public String fitnessToString()

Description copied from class: Fitness

Print to a string the fitness in a fashion intended to be parsed in again via readFitness(...). The fitness and evaluated flag should not be included. The default form simply calls toString(), which is almost certainly wrong, and you'll probably want to override this to something else. When overriding, you may wish to check to see if the 'trials' variable is non-null, and issue an error if so.

Overrides:

fitnessToString in class Fitness

fitnessToStringForHumans

public String fitnessToStringForHumans()

Description copied from class: Fitness

Print to a string the fitness in a fashion readable by humans, and not intended to be parsed in again. The default form simply calls toString(), but you'll probably want to override this to something else.

Overrides:

fitnessToStringForHumans in class Fitness

readFitness

public void readFitness(EvolutionState state,
               LineNumberReader reader)
                 throws IOException

Description copied from class: Fitness

Reads in the fitness from a form outputted by fitnessToString() and thus printFitnessForHumans(...). The default version of this method exits the program with an "unimplemented" error.

Overrides:

readFitness in class Fitness

Throws:

IOException

writeFitness

public void writeFitness(EvolutionState state,
                DataOutput dataOutput)
                  throws IOException

Description copied from class: Fitness

Writes the binary form of an individual out to a DataOutput. This is not for serialization: the object should only write out the data relevant to the object sufficient to rebuild it from a DataInput. The default version exits the program with an "unimplemented" error; you should override this, and be certain to also write the 'trials' variable as well.

Overrides:

writeFitness in class Fitness

Throws:

IOException

readFitness

public void readFitness(EvolutionState state,
               DataInput dataInput)
                 throws IOException

Description copied from class: Fitness

Reads the binary form of an individual from a DataInput. This is not for serialization: the object should only read in the data written out via printIndividual(state,dataInput). The default version exits the program with an "unimplemented" error; you should override this, and be certain to also write the 'trials' variable as well.

Overrides:

readFitness in class Fitness

Throws:

IOException

setToMeanOf

public void setToMeanOf(EvolutionState state,
               Fitness[] fitnesses)

Description copied from class: Fitness

Sets the fitness to be the same value as the mean of the provided fitnesses. The default version of this method exits with an "unimplemented" error; you should override this.

Overrides:

setToMeanOf in class Fitness