Package org.moeaframework.core.indicator
Class WFGNormalizedHypervolume
java.lang.Object
org.moeaframework.core.indicator.NormalizedIndicator
org.moeaframework.core.indicator.WFGNormalizedHypervolume
Fast hypervolume calculation published by the Walking Fish Group (WFG). This version is normalized by the bounds of
a reference set.
References:
- While, Ronald Lyndon et al. "A Fast Way of Calculating Exact Hypervolumes." IEEE Transactions on Evolutionary Computation 16 (2012): 86-95.
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Field Summary
Fields inherited from class org.moeaframework.core.indicator.NormalizedIndicator
problem -
Constructor Summary
ConstructorsConstructorDescriptionWFGNormalizedHypervolume(Problem problem, Normalizer normalizer) Constructs a hypervolume evaluator for the specified problem using the given normalizer.WFGNormalizedHypervolume(Problem problem, NondominatedPopulation referenceSet) Constructs a hypervolume evaluator for the specified problem and reference set. -
Method Summary
Modifier and TypeMethodDescriptiondoubleevaluate(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
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Constructor Details
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WFGNormalizedHypervolume
Constructs a hypervolume evaluator for the specified problem and reference set. SeeDefaultNormalizerfor details on configuring normalization.- Parameters:
problem- the problemreferenceSet- the reference set
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WFGNormalizedHypervolume
Constructs a hypervolume evaluator for the specified problem using the given normalizer.- Parameters:
problem- the problemnormalizer- a user-provided normalizer
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Method Details
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evaluate
Description copied from interface:IndicatorReturns 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
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