import java.sql.SQLOutput; import java.util.ArrayList; import java.util.Collections; public class Population { private ArrayList closedList = new ArrayList<>(); private ArrayList individuals; public Population(int[][] imgArray, ArrayList>> edges, int numSegments, int numIndividuals){ this.individuals = initRandomPopulation(imgArray, edges, numSegments, numIndividuals); setRanks(); sortIndividuals(); ArrayList fronts = selectFronts(numIndividuals); this.individuals = reduceFronts(fronts, numIndividuals); } public Population(int[][] imgArray, ArrayList>> edges, ArrayList>> newIndividualRoots, int numIndividuals){ this.individuals = initChildPopulation(imgArray, edges, newIndividualRoots); setRanks(); sortIndividuals(); ArrayList fronts = selectFronts(numIndividuals); this.individuals = reduceFronts(fronts, numIndividuals); } public ArrayList getIndividuals() { return individuals; } public void setIndividuals(ArrayList individuals) { this.individuals = individuals; } private void setRanks(){ for(Individual i : this.individuals){ setRank(i); } } private void sortIndividuals(){ Collections.sort(this.individuals); } private ArrayList selectFronts(int numIndividuals){ ArrayList acceptedIndividuals = new ArrayList<>(); int rankCounter = 1; while (acceptedIndividuals.size() < numIndividuals*2) { ArrayList individualsToAdd = getAllIndividualsOfRankN(rankCounter); if (acceptedIndividuals.size() + individualsToAdd.size() > numIndividuals * 2) { ArrayList toAdd = Helpers.crowdingDistance(individualsToAdd, ((acceptedIndividuals.size() + individualsToAdd.size()) - (numIndividuals * 2))); for(Individual i : toAdd){ acceptedIndividuals.add(i); if(acceptedIndividuals.size() == numIndividuals*2){ break; } } break; } else { acceptedIndividuals.addAll(individualsToAdd); if(acceptedIndividuals.size() == numIndividuals * 2){ //We added exactly as many as we needed break; } } rankCounter++; } return acceptedIndividuals; } private ArrayList reduceFronts(ArrayList fronts, int numIndividuals){ return Helpers.crowdingDistance(fronts, numIndividuals); //Reduce number of individuals from 2N to N=numIndividuals } private ArrayList initRandomPopulation(int[][] imgArray, ArrayList>> edges, int numSegments, int numIndividuals){ ArrayList rootNodes; ArrayList individuals = new ArrayList<>(); for (int i = 0; i < numIndividuals * 3; i++) { ArrayList> nodes = Helpers.initNodes(imgArray); rootNodes = Helpers.initRootNodes(nodes, numSegments); MST.prim(rootNodes, nodes, edges, numSegments); ArrayList segments = BFS.BFS(rootNodes); individuals.add(new Individual(segments, nodes)); } return individuals; } private ArrayList initChildPopulation(int[][] imgArray, ArrayList>> edges, ArrayList>> newIndividualRoots){ ArrayList individuals = new ArrayList<>(); for (int i = 0; i < newIndividualRoots.size(); i++) { ArrayList> nodes = Helpers.initNodes(imgArray); ArrayList rootNodes = new ArrayList<>(); for(ArrayList rootCoord : newIndividualRoots.get(i)){ nodes.get(rootCoord.get(0)).get(rootCoord.get(1)).setRoot(true); rootNodes.add(nodes.get(rootCoord.get(0)).get(rootCoord.get(1))); } MST.prim(rootNodes, nodes, edges, rootNodes.size()); ArrayList segments = BFS.BFS(rootNodes); individuals.add(new Individual(segments, nodes)); } return individuals; } /*private void createRandomIndividuals(BufferedImage img, int numCentroids, int numIndividuals){ for (int i = 0; i < 3*numIndividuals; i++) { ArrayList> nodes = initNodes(img); ArrayList centroids = initCentroids(img, numCentroids); ArrayList startNodes = getStartNodes(centroids, nodes); ArrayList searches = initSearches(startNodes); dijkstra(img, nodes, searches, centroids); Helpers.setAvgColor(centroids); this.individuals.add(new Individual(centroids)); } }*/ /*private void runIndividuals(BufferedImage img, int numCentroids, ArrayList individuals) { for (int i = 0; i < individuals.size(); i++) { Individual currentIndividual = individuals.get(i); ArrayList> nodes = initNodes(img); ArrayList startNodes = getStartNodes(currentIndividual.getCentroids(), nodes); ArrayList searches = initSearches(startNodes); dijkstra(img, nodes, searches, currentIndividual.getCentroids()); Helpers.setAvgColor(currentIndividual.getCentroids()); } this.individuals = individuals; }*/ public ArrayList getAllIndividualsOfRankN(int n){ ArrayList returned_individuals = new ArrayList(); for(Individual i : this.individuals){ if (i.getRank() == n){ returned_individuals.add(i); } } return returned_individuals; } public void setRank(Individual i){ int rank = 1; for (Individual individual : this.individuals){ if(individual != i){ if(isDominated(i, individual)){ rank++; } } } i.setRank(rank); } public boolean isDominated(Individual i, Individual o){ if(i.getEdgeValue() > o.getEdgeValue() && i.getOverallDeviation() > o.getOverallDeviation()){ return true; } return false; } }