MonteCarloSelector (Jenetics 6.3.0)

java.lang.Object
- io.jenetics.MonteCarloSelector<G,C>

All Implemented Interfaces:

Selector<G,C>
```
public final class MonteCarloSelector<G extends Gene<?,G>,C extends Comparable<? super C>>
extends Object
implements Selector<G,C>
```
The Monte Carlo selector selects the individuals from a given population randomly. This selector can be used to measure the performance of a other selectors. In general, the performance of a selector should be better than the selection performance of the Monte Carlo selector.

Since:

1.0

Version:

5.0

Constructor Summary

Constructors
Constructor Description

MonteCarloSelector()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`ISeq<Phenotype<G,C>>`	`select(Seq<Phenotype<G,C>> population, int count, Optimize opt)`	Select phenotypes from the Population.
`String`	`toString()`

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

- Constructor Detail
  - MonteCarloSelector
```
public MonteCarloSelector()
```
- Method Detail
  - select
```
public ISeq<Phenotype<G,C>> select(Seq<Phenotype<G,C>> population,
                                         int count,
                                         Optimize opt)
```
    Description copied from interface: Selector
    
    Select phenotypes from the Population.
    
    Specified by:
    
    select in interface Selector<G extends Gene<?,G>,C extends Comparable<? super C>>
    
    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 Object