source: java/ecj/cecj/archive/BestOfGenerationArchive.java @ 224

/*
  Copyright 2009 by Marcin Szubert
  Licensed under the Academic Free License version 3.0
 */

package cecj.archive;

import java.util.List;

import ec.EvolutionState;
import ec.Individual;
import ec.util.Parameter;

/**
 * Represents the simplest archive type which just finds the best individual from the submitted
 * population and appends it to the list of individuals found in previous generations. Note that, by
 * default, the archive size is unbounded and grows steadily over time because no archival
 * individuals are removed. By setting the <code>archive-size</code> parameter value to <i>x</i>,
 * only the best competitors from last <i>x</i> generations are maintained.
 * 
 * @author Marcin Szubert
 * 
 */
public class BestOfGenerationArchive extends CoevolutionaryArchive {

        private static final int UNBOUNDED_ARCHIVE_SIZE = -1;

        private static final String P_ARCHIVE_SIZE = "size";
        private static final String P_SUBPOP = "subpop";

        private int[] archiveSize;
        private int[] currentArchivePosition;

        @Override
        public void setup(EvolutionState state, Parameter base) {
                super.setup(state, base);

                currentArchivePosition = new int[numSubpopulations];
                archiveSize = new int[numSubpopulations];

                for (int subpop = 0; subpop < numSubpopulations; subpop++) {
                        Parameter archiveSizeParameter = base.push(P_SUBPOP).push("" + subpop).push(
                                        P_ARCHIVE_SIZE);
                        archiveSize[subpop] = state.parameters.getIntWithDefault(archiveSizeParameter, null,
                                        UNBOUNDED_ARCHIVE_SIZE);
                        if (archiveSize[subpop] <= 0 && archiveSize[subpop] != UNBOUNDED_ARCHIVE_SIZE) {
                                state.output.fatal("Archive size must be > 0.\n", archiveSizeParameter);
                        }
                }
        }

        @Override
        public void submit(EvolutionState state) {
                for (int subpop = 0; subpop < numSubpopulations; subpop++) {
                        Individual bestOfGeneration = findBestIndividual(getIndividuals(state, subpop));
                        List<Individual> archive = getArchive(state, subpop);

                        if ((archiveSize[subpop] == UNBOUNDED_ARCHIVE_SIZE)
                                        || (archive.size() < archiveSize[subpop])) {
                                archive.add(bestOfGeneration);
                        } else {
                                archive.set(currentArchivePosition[subpop], bestOfGeneration);
                                currentArchivePosition[subpop]++;
                                currentArchivePosition[subpop] %= archiveSize[subpop];
                        }
                }
        }

        private Individual findBestIndividual(List<Individual> inds) {
                Individual result = inds.get(0);
                for (Individual ind : inds) {
                        if (ind.fitness.betterThan(result.fitness)) {
                                result = ind;
                        }
                }
                return result;
        }
}