Class UFTournamentSelector<G extends Gene<?,G>,C extends Comparable<? super C>>
- All Implemented Interfaces:
Selector<G,
C>
The selection of unique fitnesses lifts the selection bias towards over-represented fitnesses by reducing multiple solutions sharing the same fitness to a single point in the objective space. It is therefore no longer required to assign a crowding distance of zero to individual of equal fitness as the selection operator correctly enforces diversity preservation by picking unique points in the objective space.
Reference: FĂ©lix-Antoine Fortin and Marc Parizeau. 2013. Revisiting the NSGA-II crowding-distance computation. In Proceedings of the 15th annual conference on Genetic and evolutionary computation (GECCO '13), Christian Blum (Ed.). ACM, New York, NY, USA, 623-630. DOI= 10.1145/2463372.2463456
- Since:
- 4.1
- Version:
- 4.1
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Constructor Summary
ConstructorDescriptionUFTournamentSelector
(Comparator<? super C> dominance, ElementComparator<? super C> comparator, ElementDistance<? super C> distance, ToIntFunction<? super C> dimension) Creates a newUFTournamentSelector
with the functions needed for handling the multi-objective result typeC
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Method Summary
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Constructor Details
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UFTournamentSelector
public UFTournamentSelector(Comparator<? super C> dominance, ElementComparator<? super C> comparator, ElementDistance<? super C> distance, ToIntFunction<? super C> dimension) Creates a newUFTournamentSelector
with the functions needed for handling the multi-objective result typeC
. For theVec
classes, a selector is created like in the following example:new UFTournamentSelector<>( Vec<T>::dominance, Vec<T>::compare, Vec<T>::distance, Vec<T>::length );
- Parameters:
dominance
- the pareto dominance comparatorcomparator
- the vector element comparatordistance
- the vector element distancedimension
- the dimensionality of vector typeC
- See Also:
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Method Details
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select
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ofVec
Return a new selector for the given result typeV
. This method is a shortcut fornew UFTournamentSelector<>( Vec<T>::dominance, Vec<T>::compare, Vec<T>::distance, Vec<T>::length );
- Type Parameters:
G
- the gene typeT
- the array type, e.g.double[]
V
- the multi object result type vector- Returns:
- a new selector for the given result type
V
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