/**
* Obtains the parameters used in the execution of the algorithm and stores them in the private
* variables of the class
*
* @param ficheroScript Name of the configuration script that indicates the parameters that are
* going to be used during the execution of the algorithm
*/
public void leerConfiguracion(String ficheroScript) {
String fichero, linea, token;
StringTokenizer lineasFichero, tokens;
byte line[];
int i, j;
ficheroSalida = new String[2];
fichero = Fichero.leeFichero(ficheroScript);
lineasFichero = new StringTokenizer(fichero, "\n\r");
lineasFichero.nextToken();
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
/*Getting the names of the training and test files*/
line = token.getBytes();
for (i = 0; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroTraining = new String(line, i, j - i);
for (i = j + 1; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroTest = new String(line, i, j - i);
/*Getting the path and base name of the results files*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
/*Getting the names of output files*/
line = token.getBytes();
for (i = 0; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroSalida[0] = new String(line, i, j - i);
for (i = j + 1; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroSalida[1] = new String(line, i, j - i);
/*Getting the seed*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
semilla = Long.parseLong(tokens.nextToken().substring(1));
/*Getting the number of neighbors*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
k = Integer.parseInt(tokens.nextToken().substring(1));
}
/**
* Reads configuration script, and extracts its contents.
*
* @param ficheroScript Name of the configuration script
*/
public void leerConfiguracion(String ficheroScript) {
String fichero, linea, token;
StringTokenizer lineasFichero, tokens;
byte line[];
int i, j;
ficheroSalida = new String[2];
fichero = Fichero.leeFichero(ficheroScript);
lineasFichero = new StringTokenizer(fichero, "\n\r");
lineasFichero.nextToken();
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
/*Getting the names of training and test files*/
line = token.getBytes();
for (i = 0; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroTraining = new String(line, i, j - i);
for (i = j + 1; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroTest = new String(line, i, j - i);
/*Getting the path and base name of the results files*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
/*Getting the names of output files*/
line = token.getBytes();
for (i = 0; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroSalida[0] = new String(line, i, j - i);
for (i = j + 1; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroSalida[1] = new String(line, i, j - i);
/*Getting the seed*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
semilla = Long.parseLong(tokens.nextToken().substring(1));
/*Getting the mutation and cross probability*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
pMutacion1to0 = Double.parseDouble(tokens.nextToken().substring(1));
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
pMutacion0to1 = Double.parseDouble(tokens.nextToken().substring(1));
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
pCruce = Double.parseDouble(tokens.nextToken().substring(1));
/*Getting the size of the population and number of evaluations*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
tamPoblacion = Integer.parseInt(tokens.nextToken().substring(1));
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
nEval = Integer.parseInt(tokens.nextToken().substring(1));
/*Getting the alfa equilibrate factor*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
alfa = Double.parseDouble(tokens.nextToken().substring(1));
/*Getting the type of selection*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
token = token.substring(1);
if (token.equalsIgnoreCase("binary_tournament")) torneo = true;
else torneo = false;
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
kNeigh = Integer.parseInt(tokens.nextToken().substring(1));
/*Getting the type of distance function*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
distanceEu = tokens.nextToken().substring(1).equalsIgnoreCase("Euclidean") ? true : false;
} // end-method
public void leerConfiguracion(String ficheroScript) {
String fichero, linea, token;
StringTokenizer lineasFichero, tokens;
byte line[];
int i, j;
ficheroSalida = new String[2];
fichero = Fichero.leeFichero(ficheroScript);
lineasFichero = new StringTokenizer(fichero, "\n\r");
lineasFichero.nextToken();
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
/*Getting the names of the training and test files*/
line = token.getBytes();
for (i = 0; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroTraining = new String(line, i, j - i);
for (i = j + 1; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroTest = new String(line, i, j - i);
/*Getting the path and base name of the results files*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
token = tokens.nextToken();
/*Getting the names of output files*/
line = token.getBytes();
for (i = 0; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroSalida[0] = new String(line, i, j - i);
for (i = j + 1; line[i] != '\"'; i++) ;
i++;
for (j = i; line[j] != '\"'; j++) ;
ficheroSalida[1] = new String(line, i, j - i);
/*Getting the number of neighbours*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
k = Integer.parseInt(tokens.nextToken().substring(1));
/*Getting the k' */
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
k2 = Integer.parseInt(tokens.nextToken().substring(1));
/*Getting the type of distance function*/
linea = lineasFichero.nextToken();
tokens = new StringTokenizer(linea, "=");
tokens.nextToken();
distanceEu = tokens.nextToken().substring(1).equalsIgnoreCase("Euclidean") ? true : false;
}
