/** It applies the migration stage */
void Migration() {
int i, j, num;
double u;
/* First, the individual in the population are ordered according to their fitness */
Collections.sort(Poblacion);
/* The second half (the worst one) is radomly initialized again */
for (j = (tamPoblacion / 2); j < tamPoblacion; j++) {
/* First, the antecedent */
for (i = 0; i < entradas; i++) {
Poblacion.get(j).antecedente[i].m =
Randomize.RanddoubleClosed(train.getMin(i), train.getMax(i));
Poblacion.get(j).antecedente[i].sigma = Randomize.RandintClosed(1, 4);
}
/* Secondly, the consequent */
do {
num = 0;
for (i = 0; i < entradas; i++) {
u = Randomize.RandClosed();
/* The term is used in the consequent */
if (u < 0.5) {
Poblacion.get(j).consecuente[i] = Randomize.RanddoubleClosed(-1.0, 1.0);
// Poblacion.get(j).consecuente[entradas] =
// Randomize.RanddoubleClosed(-45.0, 45.0);
if (Poblacion.get(j).consecuente[i] != 0.0) {
num++;
}
}
/* The term is NOT used in the consequent */
else {
Poblacion.get(j).consecuente[i] = 0.0;
}
}
u = Randomize.RandClosed();
/* The term is used in the consequent */
if (u < 0.5) {
Poblacion.get(j).consecuente[entradas] =
Randomize.RanddoubleClosed(
-1.0 * ((train.getMax(entradas) - train.getMin(entradas)) / 2.0),
((train.getMax(entradas) - train.getMin(entradas)) / 2.0));
// Poblacion.get(j).consecuente[entradas] =
// Randomize.RanddoubleClosed(-45.0, 45.0);
// Poblacion.get(j).consecuente[entradas] =
// Randomize.RanddoubleClosed(train.getMin(entradas), train.getMax(entradas));
if (Poblacion.get(j).consecuente[entradas] != 0.0) {
num++;
}
}
/* The term is NOT used in the consequent */
else {
Poblacion.get(j).consecuente[entradas] = 0.0;
}
} while (num == 0);
}
}
/** It initializes each individual in the population */
void initializePopulation() {
int i, j, num;
double u;
for (j = 0; j < tamPoblacion; j++) {
/* First, the antecedent */
for (i = 0; i < entradas; i++) {
Poblacion.get(j).antecedente[i].m =
Randomize.RanddoubleClosed(train.getMin(i), train.getMax(i));
Poblacion.get(j).antecedente[i].sigma = Randomize.RandintClosed(1, 4);
}
/* Secondly, the consequent */
do {
num = 0;
for (i = 0; i < entradas; i++) {
u = Randomize.RandClosed();
/* The term is used in the consequent */
if (u < 0.5) {
Poblacion.get(j).consecuente[i] = Randomize.RanddoubleClosed(-1.0, 1.0);
// Poblacion.get(j).consecuente[i] =
// Randomize.RanddoubleClosed(train.getMin(i) - 45.0, train.getMax(i) + 45.0);
// Poblacion.get(j).consecuente[i] =
// Randomize.RanddoubleClosed(-45.0, 45.0);
if (Poblacion.get(j).consecuente[i] != 0.0) {
num++;
}
}
/* The term is NOT used in the consequent */
else {
Poblacion.get(j).consecuente[i] = 0.0;
}
}
u = Randomize.RandClosed();
/* The term is used in the consequent */
if (u < 0.5) {
// Poblacion.get(j).consecuente[entradas] = Randomize.RanddoubleClosed(
// - 45.0, 45.0);
Poblacion.get(j).consecuente[entradas] =
Randomize.RanddoubleClosed(
-1.0 * ((train.getMax(entradas) - train.getMin(entradas)) / 2.0),
((train.getMax(entradas) - train.getMin(entradas)) / 2.0));
if (Poblacion.get(j).consecuente[entradas] != 0.0) {
num++;
}
}
/* The term is NOT used in the consequent */
else {
Poblacion.get(j).consecuente[entradas] = 0.0;
}
} while (num == 0);
}
}
/** It applies mutation genetic operator */
void Mutation() {
int i, j, aux1, num;
double u, u2;
for (j = 0; j < tamPoblacion; j++) {
/* First, the antecedent */
for (i = 0; i < entradas; i++) {
u = Randomize.RandClosed();
if (u < probMut) {
Poblacion.get(j).antecedente[i].m =
Randomize.RanddoubleClosed(train.getMin(i), train.getMax(i));
}
u = Randomize.RandClosed();
if (u < probMut) {
aux1 = Poblacion.get(j).antecedente[i].sigma;
do {
Poblacion.get(j).antecedente[i].sigma = Randomize.RandintClosed(1, 4);
} while (aux1 == Poblacion.get(j).antecedente[i].sigma);
}
}
/* Secondly, the consequent */
num = 0;
for (i = 0; i <= entradas; i++) {
if (Poblacion.get(j).consecuente[i] != 0.0) {
num++;
}
}
for (i = 0; i < entradas; i++) {
u = Randomize.RandClosed();
if (u < probMut) {
u2 = Randomize.RandClosed();
if (u2 < 0.5) {
Poblacion.get(j).consecuente[i] = Randomize.RanddoubleClosed(-1.0, 1.0);
}
/* The term is NOT used in the consequent */
else {
if (num != 1) {
Poblacion.get(j).consecuente[i] = 0.0;
num--;
}
}
}
}
u = Randomize.RandClosed();
if (u < probMut) {
u2 = Randomize.RandClosed();
if (u2 < 0.5) {
Poblacion.get(j).consecuente[entradas] =
Randomize.RanddoubleClosed(
-1.0 * ((train.getMax(entradas) - train.getMin(entradas)) / 2.0),
((train.getMax(entradas) - train.getMin(entradas)) / 2.0));
// Poblacion.get(j).consecuente[entradas] =
// Randomize.RanddoubleClosed(-45.0, 45.0);
}
/* The term is NOT used in the consequent */
else {
if (num != 1) {
Poblacion.get(j).consecuente[entradas] = 0.0;
num--;
}
}
}
}
}
