GeneticAlgorithm (Genetic Algorithm library 3.0.0 API)

java.lang.Object
- de.sfuhrm.genetic.GeneticAlgorithm<H>

Type Parameters:

H - The hypothesis class to use.
```
public class GeneticAlgorithm<H>
extends Object
```
Central entry class for generic algorithm implementations. There are two approaches you can take:
1. High-level approach: Call the of the findMaximum() method. It will iterate multiple generations until the finish-condition is met.
2. Low-Level approach: Iterate yourself and calculate each generation yourself using the calculateNextGeneration(List) method. This way you can do your own analysis on the state of the population.
Author:

Stephan Fuhrmann

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`List<H>`	`calculateNextGeneration(List<H> currentGeneration)`	Calculate one generation step.
`Optional<H>`	`findMaximum()`	Perform the genetic optimization.

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

- Method Detail
  - calculateNextGeneration
```
public List<H> calculateNextGeneration(List<H> currentGeneration)
```
    Calculate one generation step. Takes a current generation and calculates the next generation out of it.
    
    Parameters:
    
    currentGeneration - the current generation of hypothesis handles.
    
    Returns:
    
    the population of the next generation. This will contain some individuals from the currentGeneration input.
    
    Since:
    
    3.0.0
  - findMaximum
```
public Optional<H> findMaximum()
```
    Perform the genetic optimization. The algorithm will search for an optimal hypothesis until AlgorithmDefinition.loop(Object) returns false. New hypothesis are created using the hypothesisSupplier.
    
    Returns:
    
    the maximum AlgorithmDefinition.calculateFitness(Object) element, if any.
    
    See Also:
    
    AlgorithmDefinition.loop(Object)