[28] | 1 | package cecj.eval; |
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| 2 | |
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| 3 | import java.util.ArrayList; |
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| 4 | import java.util.List; |
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| 5 | |
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| 6 | import cecj.archive.ArchivingSubpopulation; |
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| 7 | import cecj.archive.CoevolutionaryArchive; |
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| 8 | import cecj.interaction.InteractionResult; |
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| 9 | import cecj.sampling.SamplingMethod; |
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| 10 | |
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| 11 | import ec.EvolutionState; |
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| 12 | import ec.Individual; |
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| 13 | import ec.util.Parameter; |
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| 14 | |
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| 15 | public class ArchivingCoevolutionaryEvaluator extends SimpleCoevolutionaryEvaluator { |
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| 16 | |
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| 17 | private static final String P_ARCHIVE = "archive"; |
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| 18 | private static final String P_ARCHIVE_INDS_WEIGHT = "archive-inds-weight"; |
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| 19 | private static final String P_ARCHIVE_SAMPLING_METHOD = "archive-sampling-method"; |
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| 20 | |
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| 21 | private CoevolutionaryArchive archive; |
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| 22 | |
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| 23 | private List<List<Individual>> archiveOpponents; |
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| 24 | |
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| 25 | private SamplingMethod[] archiveSamplingMethod; |
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| 26 | |
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| 27 | private int archiveIndsWeight; |
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| 28 | |
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| 29 | @Override |
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| 30 | public void setup(final EvolutionState state, final Parameter base) { |
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| 31 | super.setup(state, base); |
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| 32 | |
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| 33 | Parameter archiveParam = base.push(P_ARCHIVE); |
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| 34 | archive = (CoevolutionaryArchive) (state.parameters |
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| 35 | .getInstanceForParameter(archiveParam, null, CoevolutionaryArchive.class)); |
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| 36 | archive.setup(state, base.push(P_ARCHIVE)); |
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| 37 | |
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| 38 | Parameter archiveIndsWeightParam = base.push(P_ARCHIVE_INDS_WEIGHT); |
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| 39 | archiveIndsWeight = state.parameters.getIntWithDefault(archiveIndsWeightParam, null, 1); |
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| 40 | |
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| 41 | archiveOpponents = new ArrayList<List<Individual>>(numSubpopulations); |
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| 42 | archiveSamplingMethod = new SamplingMethod[numSubpopulations]; |
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| 43 | |
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| 44 | for (int subpop = 0; subpop < numSubpopulations; subpop++) { |
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| 45 | archiveOpponents.add(new ArrayList<Individual>()); |
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| 46 | setupArchivingSubpopulation(state, base, subpop); |
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| 47 | } |
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| 48 | } |
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| 49 | |
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| 50 | private void setupArchivingSubpopulation(EvolutionState state, Parameter base, int subpop) { |
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| 51 | Parameter samplingMethodParam = base.push(P_SUBPOP).push("" + subpop) |
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| 52 | .push(P_ARCHIVE_SAMPLING_METHOD); |
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| 53 | archiveSamplingMethod[subpop] = (SamplingMethod) (state.parameters |
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| 54 | .getInstanceForParameter(samplingMethodParam, null, SamplingMethod.class)); |
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| 55 | archiveSamplingMethod[subpop].setup(state, samplingMethodParam); |
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| 56 | } |
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| 57 | |
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| 58 | @Override |
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| 59 | public void evaluatePopulation(EvolutionState state) { |
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| 60 | if (!(state.population.subpops[0] instanceof ArchivingSubpopulation)) { |
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| 61 | state.output.fatal("Archiving evaluator requires archiving subpopulation"); |
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| 62 | } |
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| 63 | |
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| 64 | super.evaluatePopulation(state); |
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| 65 | |
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| 66 | for (int subpop = 0; subpop < numSubpopulations; subpop++) { |
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| 67 | archiveOpponents.set(subpop, findOpponentsFromArchive(state, subpop)); |
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| 68 | } |
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| 69 | |
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| 70 | for (int subpop = 0; subpop < numSubpopulations; subpop++) { |
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| 71 | List<List<InteractionResult>> subpopulationResults = interactionScheme |
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| 72 | .performInteractions(state, subpop, archiveOpponents); |
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| 73 | |
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| 74 | fitnessAggregateMethod[subpop].addToAggregate(state, subpop, subpopulationResults, |
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| 75 | archiveIndsWeight); |
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| 76 | fitnessAggregateMethod[subpop].assignFitness(state, subpop); |
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| 77 | |
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| 78 | if (statistics != null) { |
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| 79 | statistics.printInteractionResults(state, subpopulationResults, subpop); |
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| 80 | } |
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| 81 | } |
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| 82 | |
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| 83 | archive.submit(state); |
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| 84 | } |
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| 85 | |
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| 86 | private List<Individual> findOpponentsFromArchive(EvolutionState state, int subpop) { |
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| 87 | List<Individual> archive = ((ArchivingSubpopulation) state.population.subpops[subpop]) |
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| 88 | .getArchivalIndividuals(); |
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| 89 | return archiveSamplingMethod[subpop].sample(state, archive); |
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| 90 | } |
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| 91 | } |
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