Package org.moeaframework.core.indicator

Class AdditiveEpsilonIndicator

java.lang.Object

org.moeaframework.core.indicator.NormalizedIndicator

org.moeaframework.core.indicator.AdditiveEpsilonIndicator

All Implemented Interfaces:

Indicator

public class AdditiveEpsilonIndicator
extends NormalizedIndicator

Additive ε-indicator for minimization problems. Finds the minimum ε value for the approximation set to ε-dominate the reference set.

Field Summary

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

problem

Constructor Summary

Constructors

Constructor	Description
AdditiveEpsilonIndicator(Problem problem, NondominatedPopulation referenceSet)	Constructs an additive ε-indicator evaluator for the specified problem and corresponding reference set.
AdditiveEpsilonIndicator(Problem problem, NondominatedPopulation referenceSet, Normalizer normalizer)	Constructs an additive ε-indicator 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

AdditiveEpsilonIndicator

public AdditiveEpsilonIndicator(Problem problem,
 NondominatedPopulation referenceSet)

Constructs an additive ε-indicator 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

AdditiveEpsilonIndicator

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

Constructs an additive ε-indicator 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