Engine

java.lang.Object
- libai.genetics.Engine

```
public class Engine
extends java.lang.Object
```
Engine class provides complete algorithm to evolve populations of chromosomes, regardless of these kind. This implementation of the genetic algorithm contemplates the elitism variant for the selection. The mutation and cross are more chromosome-dependent that the algorithm-dependent, therefore, chromosomes are instantiated for its class and evaluated through the Fitness instance.

Constructor Summary

Constructors
Constructor	Description
`Engine(java.lang.Class chromotype, int individuals, int _chromosomeSize, double _pc, double _pm, Fitness _evaluator)`	Constructor.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Chromosome`	`evolve(int ages)`	Evolve the population for `ages`
`static java.util.Random`	`getDefaultRandomGenerator()`
`protected void`	`initialize(int chromosomeSize)`	Initialize population with size `chromosomeSize`
`void`	`setProgressBar(javax.swing.JProgressBar _progress)`

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

- Constructor Detail
  - Engine
```
public Engine(java.lang.Class chromotype,
              int individuals,
              int _chromosomeSize,
              double _pc,
              double _pm,
              Fitness _evaluator)
```
    Constructor. Initialize a population of individuals of type chromotype. Each chromosome has a length of _chromosomeSize, with a crossing probability of _pc and a mutation probability of _pm. To evaluate the fitness of each chromosome will use _evaluator.
    
    Parameters:
    
    chromotype - The class for the chromosomes
    
    individuals - The number of individuals for this population
    
    _chromosomeSize - The size of each chromosome
    
    _pc - The crossing probability.
    
    _pm - The mutation probability.
    
    _evaluator - The fitness evaluator.
- Method Detail
  - getDefaultRandomGenerator
```
public static java.util.Random getDefaultRandomGenerator()
```
  - initialize
```
protected void initialize(int chromosomeSize)
```
    Initialize population with size chromosomeSize
    
    Parameters:
    
    chromosomeSize - The size of the chromosome.
  - evolve
```
public Chromosome evolve(int ages)
```
    Evolve the population for ages
    
    Parameters:
    
    ages - ages
    
    Returns:
    
    The best chromosome for all these epochs.
  - setProgressBar
```
public void setProgressBar(javax.swing.JProgressBar _progress)
```