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

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

Method Summary

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 Detail

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 Detail

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