ec.multiobjective.nsga2

Class NSGA2MultiObjectiveFitness

java.lang.Object

ec.Fitness

ec.multiobjective.MultiObjectiveFitness

ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness

All Implemented Interfaces:

Prototype, Setup, java.io.Serializable, java.lang.Cloneable, java.lang.Comparable

public class NSGA2MultiObjectiveFitness
extends MultiObjectiveFitness

NSGA2MultiObjectiveFitness is a subclass of MultiObjeciveFitness which adds auxiliary fitness measures (sparsity, rank) largely used by MultiObjectiveStatistics. It also redefines the comparison measures to compare based on rank, and break ties based on sparsity.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	NSGA2_RANK_PREAMBLE
static java.lang.String	NSGA2_SPARSITY_PREAMBLE
int	rank Pareto front rank measure (lower ranks are better)
double	sparsity Sparsity along front rank measure (higher sparsity is better)

Fields inherited from class ec.multiobjective.MultiObjectiveFitness

FITNESS_POSTAMBLE, maximize, maxObjective, minObjective, MULTI_FITNESS_POSTAMBLE, P_MAXIMIZE, P_MAXOBJECTIVES, P_MINOBJECTIVES, P_NUMOBJECTIVES

Fields inherited from class ec.Fitness

context, FITNESS_PREAMBLE, P_FITNESS, trials

Constructor Summary

Constructors

Constructor and Description
NSGA2MultiObjectiveFitness()

Method Summary

Modifier and Type	Method and Description
boolean	betterThan(Fitness _fitness) We specify the tournament selection criteria, Rank (lower values are better) and Sparsity (higher values are better)
boolean	equivalentTo(Fitness _fitness) Returns true if I'm equivalent in fitness (neither better nor worse) to _fitness.
java.lang.String	fitnessToString() Print to a string the fitness in a fashion intended to be parsed in again via readFitness(...).
java.lang.String	fitnessToStringForHumans() Print to a string the fitness in a fashion readable by humans, and not intended to be parsed in again.
java.lang.String[]	getAuxilliaryFitnessNames() Returns auxilliary fitness value names to be printed by the statistics object.
double[]	getAuxilliaryFitnessValues() Returns auxilliary fitness values to be printed by the statistics object.
void	readFitness(EvolutionState state, java.io.DataInput dataInput) Reads the binary form of an individual from a DataInput.
void	readFitness(EvolutionState state, java.io.LineNumberReader reader) Reads in the fitness from a form outputted by fitnessToString() and thus printFitnessForHumans(...).
void	writeFitness(EvolutionState state, java.io.DataOutput dataOutput) Writes the binary form of an individual out to a DataOutput.

Methods inherited from class ec.multiobjective.MultiObjectiveFitness

clone, defaultBase, fitness, getNumObjectives, getObjective, getObjectives, getRankings, isIdealFitness, isMaximizing, isMaximizing, manhattanObjectiveDistance, paretoDominates, partitionIntoParetoFront, partitionIntoRanks, setObjectives, setToBestOf, setToMeanOf, setToMedianOf, setup, sumSquaredObjectiveDistance

Methods inherited from class ec.Fitness

compareTo, contextIsBetterThan, getContext, merge, printFitness, printFitness, printFitness, printFitnessForHumans, printFitnessForHumans, readTrials, setContext, setContext, writeTrials

Methods inherited from class java.lang.Object

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

Field Detail

NSGA2_RANK_PREAMBLE

public static final java.lang.String NSGA2_RANK_PREAMBLE

See Also:

Constant Field Values

NSGA2_SPARSITY_PREAMBLE

public static final java.lang.String NSGA2_SPARSITY_PREAMBLE

See Also:

Constant Field Values

rank

public int rank

Pareto front rank measure (lower ranks are better)

sparsity

public double sparsity

Sparsity along front rank measure (higher sparsity is better)

Constructor Detail

NSGA2MultiObjectiveFitness

public NSGA2MultiObjectiveFitness()

Method Detail

getAuxilliaryFitnessNames

public java.lang.String[] getAuxilliaryFitnessNames()

Description copied from class: MultiObjectiveFitness

Returns auxilliary fitness value names to be printed by the statistics object. By default, an empty array is returned, but various algorithms may override this to provide additional columns.

Overrides:

getAuxilliaryFitnessNames in class MultiObjectiveFitness

getAuxilliaryFitnessValues

public double[] getAuxilliaryFitnessValues()

Description copied from class: MultiObjectiveFitness

Returns auxilliary fitness values to be printed by the statistics object. By default, an empty array is returned, but various algorithms may override this to provide additional columns.

Overrides:

getAuxilliaryFitnessValues in class MultiObjectiveFitness

fitnessToString

public java.lang.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 MultiObjectiveFitness

fitnessToStringForHumans

public java.lang.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 MultiObjectiveFitness

readFitness

public void readFitness(EvolutionState state,
                        java.io.LineNumberReader reader)
                 throws java.io.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 MultiObjectiveFitness

Throws:

java.io.IOException

writeFitness

public void writeFitness(EvolutionState state,
                         java.io.DataOutput dataOutput)
                  throws java.io.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 MultiObjectiveFitness

Throws:

java.io.IOException

readFitness

public void readFitness(EvolutionState state,
                        java.io.DataInput dataInput)
                 throws java.io.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 MultiObjectiveFitness

Throws:

java.io.IOException

equivalentTo

public boolean equivalentTo(Fitness _fitness)

Description copied from class: MultiObjectiveFitness

Returns true if I'm equivalent in fitness (neither better nor worse) to _fitness. The rule I'm using is this: If one of us is better in one or more criteria, and we are equal in the others, then equivalentTo is false. If each of us is better in one or more criteria each, or we are equal in all criteria, then equivalentTo is true. Multiobjective optimization algorithms may choose to override this to do something else.

Overrides:

equivalentTo in class MultiObjectiveFitness

betterThan

public boolean betterThan(Fitness _fitness)

We specify the tournament selection criteria, Rank (lower values are better) and Sparsity (higher values are better)

Overrides:

betterThan in class MultiObjectiveFitness