StochasticUniversalSelector (Jenetics 6.0.0)

java.lang.Object
- io.jenetics.ProbabilitySelector<G,N>
- - io.jenetics.RouletteWheelSelector<G,N>
  - - io.jenetics.StochasticUniversalSelector<G,N>

All Implemented Interfaces:

Selector<G,N>
```
public class StochasticUniversalSelector<G extends Gene<?,G>,N extends Number & Comparable<? super N>>
extends RouletteWheelSelector<G,N>
```
StochasticUniversalSelector is a method for selecting a population according to some given probability in a way that minimize chance fluctuations. It can be viewed as a type of roulette game where now we have P equally spaced points which we spin.

The figure above shows how the stochastic-universal selection works; n is the number of individuals to select.

Since:

1.0

Version:

5.0

Author:

Franz Wilhelmstötter

See Also:

Wikipedia: Stochastic universal sampling

Field Summary
- Fields inherited from class io.jenetics.ProbabilitySelector
  _reverter, _sorted, POPULATION_COMPARATOR

Constructor Summary

Constructors
Constructor Description

StochasticUniversalSelector()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`ISeq<Phenotype<G,N>>`	`select(Seq<Phenotype<G,N>> population, int count, Optimize opt)`	This method sorts the population in descending order while calculating the selection probabilities.
`String`	`toString()`

Methods inherited from class io.jenetics.RouletteWheelSelector
probabilities

Methods inherited from class io.jenetics.ProbabilitySelector
probabilities

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - StochasticUniversalSelector
```
public StochasticUniversalSelector()
```
- Method Detail
  - select
```
public ISeq<Phenotype<G,N>> select(Seq<Phenotype<G,N>> population,
                                         int count,
                                         Optimize opt)
```
    This method sorts the population in descending order while calculating the selection probabilities.
    
    Specified by:
    
    select in interface Selector<G extends Gene<?,G>,N extends Number & Comparable<? super N>>
    
    Overrides:
    
    select in class ProbabilitySelector<G extends Gene<?,G>,N extends Number & Comparable<? super N>>
    
    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).
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class RouletteWheelSelector<G extends Gene<?,G>,N extends Number & Comparable<? super N>>