/**
* Deletes a classifier from this population. It chooses the classifier to be deleted.
*
* @return the deleted classifier.
*/
public Classifier deleteClassifier() {
double avFitness = 0;
int i = 0;
for (i = 0; i < macroClSum; i++) {
avFitness += set[i].getFitness();
}
avFitness /= (double) microClSum;
double voteSum = 0;
Roulette rul = new Roulette(macroClSum);
for (i = 0; i < macroClSum; i++) {
rul.add(set[i].deletionVote(avFitness));
}
i = rul.selectRoulette();
// Now we have to remove the selected classifier.
microClSum--;
set[i].increaseNumerosity(-1);
Classifier deleted = set[i];
if (set[i].getNumerosity() == 0) {
macroClSum--;
set[i] = set[macroClSum];
set[macroClSum] = null;
}
return deleted;
} // end deleteClassifier
public static void main(String[] args) {
int i;
int win = 0, N = 0;
Roulette x = new Roulette();
System.out.println("Test3: value method in class Roulette\n");
N = 1000;
for (i = 1; i <= N; i++) {
x.spin();
System.out.print("Bet on 13, spin = " + x.value() + " ");
if ("13".equals(x.value())) {
win++;
System.out.println("WIN");
} else System.out.println("lose");
}
System.out.println();
System.out.println("Total spins = " + N + " Total wins = " + win);
System.out.println("*** Should be approximately equal to " + N / 38);
System.out.println();
}
