Package org.moeaframework.core.indicator

Class InvertedGenerationalDistance

java.lang.Object

org.moeaframework.core.indicator.NormalizedIndicator

org.moeaframework.core.indicator.InvertedGenerationalDistance

All Implemented Interfaces:

Indicator

public class InvertedGenerationalDistance
extends NormalizedIndicator

Inverted generational distance indicator. Represents average distance from solutions in the reference set to the nearest solution in an approximation set.

Field Summary

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

problem

Constructor Summary

Constructors

Constructor	Description
InvertedGenerationalDistance(Problem problem, NondominatedPopulation referenceSet)	Constructs an inverted generational distance evaluator for the specified problem and corresponding reference set.
InvertedGenerationalDistance(Problem problem, NondominatedPopulation referenceSet, double d)	Constructs an inverted generational distance 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

InvertedGenerationalDistance

public InvertedGenerationalDistance(Problem problem,
 NondominatedPopulation referenceSet)

Constructs an inverted generational distance evaluator for the specified problem and corresponding reference set.

Parameters:

problem - the problem

referenceSet - the reference set for the problem

InvertedGenerationalDistance

public InvertedGenerationalDistance(Problem problem,
 NondominatedPopulation referenceSet,
 double d)

Constructs an inverted generational distance evaluator for the specified problem and corresponding reference set.

Parameters:

problem - the problem

referenceSet - the reference set for the problem

d - the power, typically 1.0

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