Population (Morphokinetics)

java.lang.Object
- geneticAlgorithm.Population

```
public class Population
extends java.lang.Object
```
This class just model a Genetic Algorithm population, it can be the main population or an offspring

Author:

N. Ferrando, J. Alberdi-Rodriguez, E. Sanchez

Field Summary

Fields
Modifier and Type	Field and Description
`private double`	`crm` Crossover mean.
`private Individual[]`	`individuals`
`private int`	`iterationNumber`
`private RichArray`	`offFitness` Objective function values.
`private RichMatrix`	`offspringGenes` Offspring population.
`private boolean`	`ordered`

Constructor Summary

Constructors
Constructor and Description

Population(int size)

Population(int dimensions, int size)

Constructors
Constructor and Description
`Population(int size)`
`Population(int dimensions, int size)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double`	`getBestError()` Returns the best error of the current population.
`Individual`	`getBestIndividual()` Returns the best individual of the current population.
`double`	`getCrm()`
`Individual`	`getIndividual(int pos)` Return an population individual from position pos
`Individual[]`	`getIndividuals()`
`int`	`getIterationNumber()`
`RichArray`	`getOffFitness()` Objective function values for DCMA-ES algorithm.
`RichMatrix`	`getOffspringGenes()`
`void`	`newOffspringGenes()`
`void`	`order()` Orders the population, from the least to the more error.
`void`	`print(java.lang.String header)` Prints to the standard output the current individuals, one line per individual with all its genes.
`private static void`	`quicksort(Individual[] ind, int left, int right)` Quicksort-based ordering algorithm.
`void`	`setCrm(double crm)`
`void`	`setIndividual(Individual ind, int pos)` Sets an individual to position pos
`void`	`setIterationNumber(int iterationNumber)`
`void`	`setOffspringGenes(RichMatrix offX)`
`int`	`size()`

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

- Field Detail
  - individuals
```
private Individual[] individuals
```
  - iterationNumber
```
private int iterationNumber
```
  - ordered
```
private boolean ordered
```
  - offFitness
```
private RichArray offFitness
```
    Objective function values.
  - offspringGenes
```
private RichMatrix offspringGenes
```
    Offspring population.
  - crm
```
private double crm
```
    Crossover mean.
- Constructor Detail
  - Population
```
public Population(int dimensions,
                  int size)
```
    Parameters:
    
    dimensions - Number of genes per individual
    
    size - Number of individuals
  - Population
```
public Population(int size)
```
- Method Detail
  - getIndividuals
```
public Individual[] getIndividuals()
```
  - getIndividual
```
public Individual getIndividual(int pos)
```
    Return an population individual from position pos
    
    Parameters:
    
    pos - position must be less than number of individuals (population size)
    
    Returns:
    
    Individual
  - setIndividual
```
public void setIndividual(Individual ind,
                          int pos)
```
    Sets an individual to position pos
    
    Parameters:
    
    ind - Individual to be inserted
    
    pos - position must be less than number of individuals (population size)
  - size
```
public int size()
```
  - order
```
public void order()
```
    Orders the population, from the least to the more error.
  - getOffFitness
```
public RichArray getOffFitness()
```
    Objective function values for DCMA-ES algorithm. Otherwise, it has huge values that never change
    
    Returns:
    
    Objective function values
  - getOffspringGenes
```
public RichMatrix getOffspringGenes()
```
  - newOffspringGenes
```
public void newOffspringGenes()
```
  - setOffspringGenes
```
public void setOffspringGenes(RichMatrix offX)
```
  - getCrm
```
public double getCrm()
```
  - setCrm
```
public void setCrm(double crm)
```
  - quicksort
```
private static void quicksort(Individual[] ind,
                              int left,
                              int right)
```
    Quicksort-based ordering algorithm.
    
    Parameters:
    
    ind -
    
    left -
    
    right -
  - setIterationNumber
```
public void setIterationNumber(int iterationNumber)
```
  - getIterationNumber
```
public int getIterationNumber()
```
  - print
```
public void print(java.lang.String header)
```
    Prints to the standard output the current individuals, one line per individual with all its genes.
    
    Parameters:
    
    header - An string to be added at the beginning of the line.
  - getBestError
```
public double getBestError()
```
    Returns the best error of the current population. It orders the population (if required) and returns the sum of the best individual
    
    Returns:
    
    the lowest error
  - getBestIndividual
```
public Individual getBestIndividual()
```
    Returns the best individual of the current population. It orders the population (if required) and returns the best individual
    
    Returns:
    
    the best individual

Class Population

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

individuals

iterationNumber

ordered

offFitness

offspringGenes

crm

Constructor Detail

Population

Population

Method Detail

getIndividuals

getIndividual

setIndividual

size

order

getOffFitness

getOffspringGenes

newOffspringGenes

setOffspringGenes

getCrm

setCrm

quicksort

setIterationNumber

getIterationNumber

print

getBestError

getBestIndividual