/** Initialize all parameter of the algorithm */
public void initParams() {
swarmSize_ = ((Integer) getInputParameter("swarmSize")).intValue();
archiveSize_ = ((Integer) getInputParameter("archiveSize")).intValue();
maxIterations_ = ((Integer) getInputParameter("maxIterations")).intValue();
indicators_ = (QualityIndicator) getInputParameter("indicators");
polynomialMutation_ = operators_.get("mutation");
parallelEvaluator_.startEvaluator(problem_);
iteration_ = 1;
success_ = false;
particles_ = new SolutionSet(swarmSize_);
best_ = new Solution[swarmSize_];
// Create comparators for dominance and crowding distance
dominance_ = new DominanceComparator();
crowdingDistanceComparator_ = new CrowdingDistanceComparator();
distance_ = new Distance();
// Create the speed_ vector
speed_ = new double[swarmSize_][problem_.getNumberOfVariables()];
deltaMax_ = new double[problem_.getNumberOfVariables()];
deltaMin_ = new double[problem_.getNumberOfVariables()];
for (int i = 0; i < problem_.getNumberOfVariables(); i++) {
deltaMax_[i] = (problem_.getUpperLimit(i) - problem_.getLowerLimit(i)) / 2.0;
deltaMin_[i] = -deltaMax_[i];
} // for
leaders_ = new DominanceAndDecompositionArchive(archiveSize_, problem_.getNumberOfObjectives());
} // initParams
