/**
* 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
/** 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
