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package jcgp.backend.population;
import jcgp.backend.resources.Resources;
public class Population {
private final Chromosome[] chromosomes;
private final Resources resources;
private int fittest = 0;
/**
* Initialise a random population according to the parameters specified
* in the resources.
*
* @param resources the CGP resources
*/
public Population(Resources resources) {
this.resources = resources;
chromosomes = new Chromosome[resources.populationSize()];
for (int c = 0; c < chromosomes.length; c++) {
chromosomes[c] = new Chromosome(resources);
}
}
/**
* Initialise a population of copies of the given chromosome.
*
* @param parent
* @param resources
*/
public Population(Chromosome parent, Resources resources) {
this.resources = resources;
chromosomes = new Chromosome[resources.populationSize()];
for (int c = 0; c < chromosomes.length; c++) {
chromosomes[c] = new Chromosome(parent);
}
}
/**
* Returns the indexed chromosome.
*
* @param index
* @return
*/
public Chromosome getChromosome(int index) {
return chromosomes[index];
}
/**
* @return a random chromosome from this population.
*/
public Chromosome getRandomChromosome() {
return chromosomes[resources.getRandomInt(chromosomes.length)];
}
/**
* Copy a chromosome into a different position.
* After this returns, the target chromosome has
* identical connections and functions to the source
* one, though they are separate instances.
*
* This method does nothing if source == target.
*
* @param source
* @param target
*/
public void copyChromosome(int source, int target) {
if (source != target) {
chromosomes[target].copyGenes(chromosomes[source]);
}
}
public void reinitialise() {
for (int c = 0; c < chromosomes.length; c++) {
chromosomes[c].reinitialiseConnections();
}
}
public void setFittest(int fittest) {
this.fittest = fittest;
}
public void setFittest(Chromosome fittest) {
for (int i = 0; i < chromosomes.length; i++) {
if (chromosomes[i] == fittest) {
this.fittest = i;
return;
}
}
}
public Chromosome getFittest() {
return chromosomes[fittest];
}
public int getFittestIndex() {
return fittest;
}
}
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