Module io.jenetics.base
Package io.jenetics
Interface Selector<G extends Gene<?,G>,C extends Comparable<? super C>>
- Type Parameters:
G
- The gene type this GA evaluates,C
- The result type (of the fitness function).
- All Known Implementing Classes:
BoltzmannSelector
,EliteSelector
,ExponentialRankSelector
,LinearRankSelector
,MonteCarloSelector
,NSGA2Selector
,ProbabilitySelector
,RouletteWheelSelector
,StochasticUniversalSelector
,TournamentSelector
,TruncationSelector
,UFTournamentSelector
,WeaselSelector
- Functional Interface:
- This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.
Selectors are responsible for selecting a given number of individuals from
the population. The selectors are used to divide the population into
survivors and offspring. The selectors for offspring and for the survivors
can be chosen independently.
final Engine<DoubleGene, Double> engine = Engine
.builder(gtf, ff)
.offspringSelector(new RouletteWheelSelector<>())
.survivorsSelector(new TournamentSelector<>())
.build();
- Since:
- 1.0
- Version:
- 4.0
-
Method Summary
-
Method Details
-
select
Select phenotypes from the Population.- Parameters:
population
- The population to select from.count
- The number of phenotypes to select.opt
- Determines whether the individuals with higher fitness values or lower fitness values must be selected. This parameter determines whether the GA maximizes or minimizes the fitness function.- Returns:
- The selected phenotypes (a new Population).
- Throws:
NullPointerException
- if the arguments isnull
.IllegalArgumentException
- if the select count is smaller than zero.
-