Package org.moeaframework.core.indicator

Class MaximumParetoFrontError

java.lang.Object

org.moeaframework.core.indicator.NormalizedIndicator

org.moeaframework.core.indicator.MaximumParetoFrontError

All Implemented Interfaces:

Indicator

public class MaximumParetoFrontError
extends NormalizedIndicator

Maximum Pareto front error metric. Represents the maximum distance from solutions in an approximation set to the nearest solution in the reference set.

Field Summary

Fields inherited from class org.moeaframework.core.indicator.NormalizedIndicator

problem

Constructor Summary

Constructors

Constructor	Description
MaximumParetoFrontError(Problem problem, NondominatedPopulation referenceSet)	Constructs a maximum Pareto front error evaluator for the specified problem and corresponding reference set.
MaximumParetoFrontError(Problem problem, NondominatedPopulation referenceSet, Normalizer normalizer)	Constructs a maximum Pareto front error evaluator with a user-provided normalizer.

Method Summary

Modifier and Type	Method	Description
double	evaluate(NondominatedPopulation approximationSet)	Returns the value of this unary quality indicator given the specified non-dominated population.

Methods inherited from class org.moeaframework.core.indicator.NormalizedIndicator

getNormalizedReferenceSet, normalize

Methods inherited from class java.lang.Object

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

Constructor Details

MaximumParetoFrontError

public MaximumParetoFrontError(Problem problem,
 NondominatedPopulation referenceSet)

Constructs a maximum Pareto front error evaluator for the specified problem and corresponding reference set. The default normalization procedure, as specified by DefaultNormalizer, is used.

Parameters:

problem - the problem

referenceSet - the reference set for the problem

MaximumParetoFrontError

public MaximumParetoFrontError(Problem problem,
 NondominatedPopulation referenceSet,
 Normalizer normalizer)

Constructs a maximum Pareto front error evaluator with a user-provided normalizer.

Parameters:

problem - the problem

referenceSet - the reference set for the problem

normalizer - the user-provided normalizer, or null if the default is used

Method Details

evaluate

public double evaluate(NondominatedPopulation approximationSet)

Description copied from interface: Indicator

Returns the value of this unary quality indicator given the specified non-dominated population.

Parameters:

approximationSet - the non-dominated population to be evaluated

Returns:

the value of this quality indicator given the specified non-dominated population