Exemple #1
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  /**
   * Inserts the classifier in the population. Before that, it looks if there is a classifier in the
   * population with the same action and condition (in this case, increments its numerosity). After,
   * it checks that the number of micro classifiers is less than the maximum population size. If it
   * isn't, it deletes one classifier from the population calling the deleteClassifier function. It
   * inserts the classifier in the population and in the action set if it's not null.
   *
   * @param cl is the classifier that has to be inserted in the population.
   * @param ASet Population where the classifier will be inserted.
   */
  public void insertInPopulation(Classifier cl, Population ASet) {
    boolean found = false;
    int i = 0;

    while (i < macroClSum && !found) {
      if (set[i].equals(cl)) {
        set[i].increaseNumerosity(cl.getNumerosity());
        microClSum += cl.getNumerosity();
        if (ASet != null) {
          if (ASet.isThereClassifier(set[i]) >= 0) ASet.microClSum += cl.getNumerosity();
        }
        found = true;
      }
      i++;
    }
    if (!found) {
      addClassifier(cl);
    }

    // Here, the classifier has been added to the population
    if (microClSum
        > Config.popSize) { // If we have inserted to many classifiers, we have to delete one.
      deleteClFromPopulation(ASet);
    }
  } // end insertInPopulation
Exemple #2
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  /**
   * Inserts the classifier into the population. Before, it looks if there is a classifier in the
   * population that can subsume the new one (in this case, increments its numerosity). After, it
   * checks that the number of micro classifiers is less than the maximum population size. If it
   * isn't, it deletes one classifier of the population calling the deleteClassifier function. It
   * inserts the classifier in the population and in the action set if it's not null.
   *
   * @param cl is the classifier that has to be inserted in the population.
   * @param ASet Population where the classifier will be inserted.
   */
  public void insertInPSubsumingCl(Classifier cl, Population ASet) {
    int i = 0;
    Classifier bestSubsumer = null;
    Classifier equalClassifier = null;

    // We look for the best subsumer or for an equal classifier.
    while (i < macroClSum) {
      if (set[i].couldSubsume() && set[i].isMoreGeneral(cl)) {
        if (bestSubsumer == null) bestSubsumer = set[i];
        else if (set[i].isMoreGeneral(bestSubsumer)) bestSubsumer = set[i];
      }
      if (set[i].equals(cl)) equalClassifier = set[i];
      i++;
    }

    // If there is a subsumer, its numerosity is increased.
    if (bestSubsumer != null) {
      bestSubsumer.increaseNumerosity(cl.getNumerosity());
      microClSum += cl.getNumerosity();
    } else if (equalClassifier != null) {
      equalClassifier.increaseNumerosity(cl.getNumerosity());
      microClSum += cl.getNumerosity();
    } else {
      addClassifier(cl);
    }
    // There's no classifier deletion, independent of if the maximum size
    // has been overcomen
  } // end insertInPSubsumingCl
Exemple #3
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  /**
   * Deletes one classifier from the population. After that, if the population passed as a parameter
   * is not null, it looks for the deleted classifier. If it is in the second population, it will
   * delete it too.
   *
   * @param aSet is the population where the deleted classifier has to be searched.
   * @return a Classifier that contains the deleted classifier.
   */
  public Classifier deleteClFromPopulation(Population aSet) {
    // A classifier has been deleted from the population
    Classifier clDeleted = deleteClassifier();

    if (aSet
        != null) { // Now, this classifier has to be deleted from the action set (if it exists in).
      int pos = aSet.isThereClassifier(clDeleted); // It is searched in the action set.
      if (pos >= 0) { // It has to be deleted from the action set too.
        aSet.microClSum--;

        // If the classifier has 0 numerosity, we remove it from the population.
        if (clDeleted.getNumerosity() == 0) { // It has to be completely deleted from action set.
          aSet.macroClSum--; // Decrements the number of macroclassifiers
          aSet.set[pos] = aSet.set[aSet.macroClSum]; // Moves the last classifier to the deleted one
          aSet.set[aSet.macroClSum] = null; // Puts the last classifier to null.
        }
      }
    }
    return clDeleted;
  } // end deleteClFromPopulation
Exemple #4
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  /** This method applies the action set subsumption */
  public void doActionSetSubsumption() {
    int i, pos = 0;
    Classifier cl = null;

    for (i = 0; i < macroClSum; i++) {
      if (set[i].couldSubsume()) {
        if (cl == null
            || set[i].numberOfDontCareSymbols() > cl.numberOfDontCareSymbols()
            || (set[i].numberOfDontCareSymbols() == cl.numberOfDontCareSymbols()
                && Config.rand() < 0.5)) {
          cl = set[i];
          pos = i;
        }
      }
    }
    if (cl != null) {
      for (i = 0; i < macroClSum; i++) {
        if (cl != set[i] && cl.isMoreGeneral(set[i])) {
          cl.increaseNumerosity(set[i].getNumerosity());
          // Now, the classifier has to be removed from the actionSet and the population.
          // It's deleted from the action set.
          Classifier clDeleted = set[i];
          deleteClassifier(i);

          // And now, it's deleted from the population
          Population p = parentRef;
          while (p.parentRef != null) {
            p = p.parentRef;
          }

          pos =
              p.isThereClassifier(
                  clDeleted); // The classifier is searched in the initial population.

          if (pos >= 0) p.deleteClassifier(pos);
        }
      }
    }
  } // end doActionSetSubsumption
Exemple #5
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 /**
  * Adds a classifier in the population.
  *
  * @param cl is the new classifier to be added.
  */
 public void addClassifier(Classifier cl) {
   try {
     set[macroClSum] = cl;
     microClSum += cl.getNumerosity();
     macroClSum++;
   } catch (Exception e) {
     System.out.println(
         "Exception in the insertion of a new classifier. The macroClSum is : "
             + macroClSum
             + " and the microClsum: "
             + microClSum);
     System.out.println(
         "And the maximum number of classifiers in the population is: " + Config.popSize);
     e.printStackTrace();
   }
 } // end addClassifier