Package org.moeaframework.core.indicator

Class GenerationalDistancePlus

java.lang.Object

org.moeaframework.core.indicator.NormalizedIndicator

org.moeaframework.core.indicator.GenerationalDistancePlus

All Implemented Interfaces:

Indicator

public class GenerationalDistancePlus
extends NormalizedIndicator

Generational distance plus (GD+) indicator. The "plus" variant differs in two ways:

1. Utilizes a different distance measure to construct a weakly Pareto compliant indicator, and
2. Fixes the power to 1.0 so the result is always the average distance.

References:

1. H. Ishibuchi, H. Masuda, Y. Tanigaki and Y. Nojima, “Modified distance calculation in generational distance and inverted generational distance,” Proc. of 8th International Conference on Evolutionary Multi-Criterion Optimization, Part I, pp. 110-125, Guimarães, Portugal, March 29-April 1, 2015.

Field Summary

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

problem

Constructor Summary

Constructors

Constructor	Description
GenerationalDistancePlus(Problem problem, NondominatedPopulation referenceSet)	Constructs a generational distance plus evaluator for the specified problem and corresponding reference set.
GenerationalDistancePlus(Problem problem, NondominatedPopulation referenceSet, Normalizer normalizer)	Constructs a generational distance plus 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

GenerationalDistancePlus

public GenerationalDistancePlus(Problem problem,
 NondominatedPopulation referenceSet)

Constructs a generational distance plus 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

GenerationalDistancePlus

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

Constructs a generational distance plus 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