org.moeaframework.core.indicator
Class MaximumParetoFrontError

java.lang.Object
  org.moeaframework.core.indicator.NormalizedIndicator
      org.moeaframework.core.indicator.MaximumParetoFrontError

All Implemented Interfaces:

Indicator

public class MaximumParetoFrontError
extends NormalizedIndicator

Maximum Pareto front error metric. Represents the maximum distance from solutions in an approximation set to the nearest solution in the reference set.

Field Summary

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

problem

Constructor Summary

MaximumParetoFrontError(Problem problem, NondominatedPopulation referenceSet)
Constructs a maximum Pareto front error 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

MaximumParetoFrontError

public MaximumParetoFrontError(Problem problem,
                               NondominatedPopulation referenceSet)

Constructs a maximum Pareto front error 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