/** 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