@Override
public Individual[] cross(Individual[] entities) {
int size = entities[0].getLupusArray().length;
List<double[][]> dad = entities[0].getLupusMatrix();
List<double[][]> mom = entities[1].getLupusMatrix();
double[] son1 = new double[size];
double[] son2 = new double[size];
int cutPoint = RandomGenerator.getInt(1, dad.size());
int index = 0;
for (int i = 0; i < cutPoint; i++) {
double[][] dadMatrix = dad.get(i);
double[][] momMatrix = mom.get(i);
for (int j = 0; j < dadMatrix.length; j++) {
for (int k = 0; k < dadMatrix[j].length; k++) {
son1[index] = dadMatrix[j][k];
son2[index++] = momMatrix[j][k];
}
}
}
for (int i = cutPoint; i < dad.size(); i++) {
double[][] dadMatrix = dad.get(i);
double[][] momMatrix = mom.get(i);
for (int j = 0; j < dadMatrix.length; j++) {
for (int k = 0; k < dadMatrix[j].length; k++) {
son1[index] = dadMatrix[j][k];
son2[index++] = momMatrix[j][k];
}
}
}
Individual indSon1 = Individual.creator(entities[0].getData(), son1);
Individual indSon2 = Individual.creator(entities[0].getData(), son2);
return new Individual[] {indSon1, indSon2};
}
@Override
public List<Individual> select(List<Individual> population, int generation, int ggToSelect) {
List<Individual> newGeneration = new ArrayList<Individual>();
double distance = 1.0d / ggToSelect;
double r = RandomGenerator.getDouble() / ggToSelect;
for (int i = 0; i < ggToSelect; i++) {
double f = 0;
int j = 0;
Individual individual = null;
do {
individual = population.get(j++);
f += individual.getApptitude();
} while (f < r);
newGeneration.add(individual);
r += distance;
}
return newGeneration;
}
@Override
public boolean shouldApply() {
return RandomGenerator.getDouble() < this.prob;
}