/**
* Performs Adaptive Probability Mutation
*
* @param offspring
* @param avgFitness
* @param maxFitness
* @param parentFitness
* @return
*/
@Override
protected T[] doMutation(
T[] offspring, double avgFitness, double maxFitness, double parentFitness) {
T[] mutatedOffspring = null;
// set probability
this.Config.setAdaptiveMutationProbability(avgFitness, maxFitness, parentFitness / 2);
if (Math.random() < this.Config.getMutationProbability()) {
try {
mutatedOffspring = this.Mutation.Mutate(offspring);
} catch (GeneticAlgorithmException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
this.MutationCount++;
} else {
mutatedOffspring = offspring;
}
return mutatedOffspring;
}
/**
* Performs Adaptive Probability Crossover
*
* @param parents
* @param avgFitness
* @param maxFitness
* @param parentFitness
* @return
*/
@Override
protected T[] doCrossover(
T[] parents, double avgFitness, double maxFitness, double parentFitness) {
T[] offspring = null;
// set probability
this.Config.setAdaptiveCrossoverProbability(avgFitness, maxFitness, parentFitness / 2);
if (Math.random() < this.Config.getCrossoverProbability()) {
try {
offspring = this.CrossOver.CrossOver(parents);
} catch (GeneticAlgorithmException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
this.CrossoverCount++;
} else {
offspring = parents;
}
return offspring;
}
