/**
* It selects the best solution according to objective 0 and generates the given RB
*
* @return the RB with the best value for objective 0
*/
private ArrayList<String> getAllSolutions() {
ArrayList<String> solutions = new ArrayList<String>();
// This procedure can be updated in order to select any other desirable solution
Files function = new Files();
String funcionStr = function.readFile(header + ".var");
StringTokenizer lines = new StringTokenizer(funcionStr, "\n");
while (lines.hasMoreTokens()) {
StringTokenizer token = new StringTokenizer(lines.nextToken(), " ");
String solutionFS = token.nextToken();
solutionFS = solutionFS.replace("\t", "");
if (solutionFS.contains("1")) {
String solutionIS = token.nextToken();
solutionIS = solutionIS.replace("\t", "");
if (solutionIS.contains("1")) {
solutions.add(solutionFS); // 111010110101
solutions.add(solutionIS); // 111010110101
} else {
System.err.println("Skipping empty solution (FS)");
}
} else {
System.err.println("Skipping empty solution (FS)");
}
}
return solutions;
}
/**
* Constructor of the Class Parametros
*
* @param nombreFileParametros is the pathname of input parameter file
*/
Parametros(String nombreFileParametros) {
try {
int i;
String fichero, linea, tok;
StringTokenizer lineasFile, tokens;
/* read the parameter file using Files class */
fichero = Files.readFile(nombreFileParametros);
fichero += "\n";
/* remove all \r characters. it is neccesary for a correst use in Windows and UNIX */
fichero = fichero.replace('\r', ' ');
/* extracts the differents tokens of the file */
lineasFile = new StringTokenizer(fichero, "\n");
i = 0;
while (lineasFile.hasMoreTokens()) {
linea = lineasFile.nextToken();
i++;
tokens = new StringTokenizer(linea, " ,\t");
if (tokens.hasMoreTokens()) {
tok = tokens.nextToken();
if (tok.equalsIgnoreCase("algorithm")) nameAlgorithm = getParamString(tokens);
else if (tok.equalsIgnoreCase("inputdata")) getInputFiles(tokens);
else if (tok.equalsIgnoreCase("outputdata")) getOutputFiles(tokens);
else if (tok.equalsIgnoreCase("seed")) seed = getParamLong(tokens);
else throw new java.io.IOException("Syntax error on line " + i + ": [" + tok + "]\n");
}
}
} catch (java.io.FileNotFoundException e) {
System.err.println(e + "Parameter file");
} catch (java.io.IOException e) {
System.err.println(e + "Aborting program");
System.exit(-1);
}
/** show the read parameter in the standard output */
String contents = "-- Parameters echo --- \n";
contents += "Algorithm name: " + nameAlgorithm + "\n";
contents += "Input Train File: " + trainFileNameInput + "\n";
contents += "Input Test File: " + testFileNameInput + "\n";
contents += "Output Train File: " + trainFileNameOutput + "\n";
contents += "Output Test File: " + testFileNameOutput + "\n";
System.out.println(contents);
}
/**
* Reads the parameters of the algorithm.
*
* @param script Configuration script
*/
@Override
protected void readParameters(String script) {
String file;
String line;
StringTokenizer fileLines, tokens;
file = Files.readFile(script);
fileLines = new StringTokenizer(file, "\n\r");
// Discard in/out files definition
fileLines.nextToken();
fileLines.nextToken();
fileLines.nextToken();
// Getting the seed
line = fileLines.nextToken();
tokens = new StringTokenizer(line, "=");
tokens.nextToken();
seed = Long.parseLong(tokens.nextToken().substring(1));
// Getting the K parameter
line = fileLines.nextToken();
tokens = new StringTokenizer(line, "=");
tokens.nextToken();
K = Integer.parseInt(tokens.nextToken().substring(1));
// Getting the M parameter
line = fileLines.nextToken();
tokens = new StringTokenizer(line, "=");
tokens.nextToken();
M = Double.parseDouble(tokens.nextToken().substring(1));
// Getting the Max Iterations parameter
line = fileLines.nextToken();
tokens = new StringTokenizer(line, "=");
tokens.nextToken();
maxIterations = Integer.parseInt(tokens.nextToken().substring(1));
// Getting the delta parameter
line = fileLines.nextToken();
tokens = new StringTokenizer(line, "=");
tokens.nextToken();
delta = Double.parseDouble(tokens.nextToken().substring(1));
} // end-method
/**
* It obtains all the neccesary information of the parameter file<br>
* First, it reads the names of the training and tests data-set files<br>
* Then, it reads the output files<br>
* Finally, it reads the algorithm parameters, such as the seed or the number of iterations<br>
*
* @param nomFichero Name of the parameter file
*/
private void preparaArgumentos(String nomFichero) {
StringTokenizer linea, datos;
String fichero =
Files.readFile(nomFichero); // guardo todo el fichero como un String para procesarlo:
String una_linea;
linea = new StringTokenizer(fichero, "\n\r");
linea.nextToken(); // Algorithm name
una_linea = linea.nextToken();
datos = new StringTokenizer(una_linea, " = \" ");
datos.nextToken(); // inputData
ficheroTrain = datos.nextToken();
ficheroEval = datos.nextToken(); // Validation file
ficheroTest = datos.nextToken();
una_linea = linea.nextToken();
datos = new StringTokenizer(una_linea, " = \" ");
datos.nextToken(); // outputData
ficheroSalidatr = datos.nextToken();
ficheroSalidatst = datos.nextToken();
ficheroSalida = datos.nextToken();
una_linea = linea.nextToken();
datos = new StringTokenizer(una_linea, " = \" ");
datos.nextToken(); // covered
seCubre = Double.parseDouble(datos.nextToken());
una_linea = linea.nextToken();
datos = new StringTokenizer(una_linea, " = \" ");
datos.nextToken(); // star size
tamEstrella = Integer.parseInt(datos.nextToken());
una_linea = linea.nextToken();
datos = new StringTokenizer(una_linea, " = \" ");
datos.nextToken(); // accurate
String eficaciaAux = datos.nextToken();
eficacia = 0;
if (eficaciaAux.compareTo("YES") == 0) {
eficacia = 1;
}
};
