public void run() {
int i, j;
double ec, el, ec_tst, el_tst;
/* We read the configutate file and we initialize the structures and variables */
leer_conf();
if (tabla.salir == false) {
Gen = 0;
/* Generation of the initial population */
alg_gen.Initialize();
/* Evaluation of the initial population */
alg_gen.Evaluate();
Gen++;
/* Main of the genetic algorithm */
do {
/* Interchange of the new and old population */
alg_gen.Intercambio();
/* Selection by means of Baker */
alg_gen.Select();
/* Crossover */
if (tipoc > 0) alg_gen.Max_Min_Crossover();
else alg_gen.Cruce_Multipunto();
/* Mutation */
alg_gen.Mutacion();
/* Elitist selection */
alg_gen.Elitist();
/* Evaluation of the current population */
alg_gen.Evaluate();
/* we increment the counter */
Gen++;
} while (Gen <= n_generaciones);
/* we calcule the MSEs */
fun_adap.Decodifica(alg_gen.solucion());
fun_adap.Error_tra();
ec = fun_adap.EC;
el = fun_adap.EL;
tabla_tst = new MiDataset(fich_datos_tst, false);
fun_adap.Error_tst(tabla_tst);
ec_tst = fun_adap.EC;
el_tst = fun_adap.EL;
fun_adap.Cubrimientos_Base();
/* we write the RB */
cadenaReglas = base_reglas.BRtoString();
cadenaReglas +=
"\nMSEtra: "
+ ec
+ " MSEtst: "
+ ec_tst
+ "\nAverage covering degree: "
+ fun_adap.medcb
+ " Minimum covering degree: "
+ fun_adap.mincb;
Fichero.escribeFichero(fichero_reglas, cadenaReglas);
/* we write the obligatory output files*/
String salida_tra = tabla.getCabecera();
salida_tra += fun_adap.getSalidaObli(tabla);
Fichero.escribeFichero(fich_tra_obli, salida_tra);
String salida_tst = tabla_tst.getCabecera();
salida_tst += fun_adap.getSalidaObli(tabla_tst);
Fichero.escribeFichero(fich_tst_obli, salida_tst);
/* we write the MSEs in specific files */
Fichero.AnadirtoFichero(ruta_salida + "PcomunR.txt", "" + base_reglas.n_reglas + "\n");
Fichero.AnadirtoFichero(ruta_salida + "PcomunTRA.txt", "" + ec + "\n");
Fichero.AnadirtoFichero(ruta_salida + "PcomunTST.txt", "" + ec_tst + "\n");
}
}