/**
* Sets the population size and resets the GA generation count, as well as initializing the
* population with random individuals.
*
* @param inSize the size of the new GA population.
*/
protected void ResizeAndInitialize(int inSize) throws Exception {
_populations = new GAIndividual[2][inSize];
_currentPopulation = 0;
_generationCount = 0;
Object iObject = _individualClass.newInstance();
if (!(iObject instanceof GAIndividual))
throw new Exception("individual-class must inherit from class GAIndividual");
GAIndividual individual = (GAIndividual) iObject;
for (int i = 0; i < inSize; i++) {
_populations[0][i] = individual.clone();
InitIndividual(_populations[0][i]);
}
}
/**
* Evaluates the current population and updates their fitness values. This method may be
* overridden by subclasses to customize GA behavior.
*/
protected void Evaluate() {
double totalFitness = 0;
_bestMeanFitness = Float.MAX_VALUE;
for (int n = 0; n < _populations[_currentPopulation].length; n++) {
GAIndividual i = _populations[_currentPopulation][n];
EvaluateIndividual(i);
totalFitness += i.GetFitness();
if (i.GetFitness() < _bestMeanFitness) {
_bestMeanFitness = i.GetFitness();
_bestIndividual = n;
_bestErrors = i.GetErrors();
}
}
_populationMeanFitness = totalFitness / _populations[_currentPopulation].length;
}
