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.

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.

Parameters:

problem - the problem

referenceSet - the reference set for the problem

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