Examples of org.uncommons.watchmaker.framework.selection.TournamentSelection

Package org.uncommons.watchmaker.framework.selection

Examples of org.uncommons.watchmaker.framework.selection.TournamentSelection

org.uncommons.watchmaker.framework.selection.TournamentSelection
Selection strategy that picks a pair of candidates at random and then selects the fitter of the two candidates with probability p, where p is the configured selection probability (therefore the probability of the less fit candidate being selected is 1 - p). @author Daniel Dyer

      selectionLabel = new JLabel("Selection Strategy: ");
      innerPanel.add(selectionLabel);
      
      SelectionStrategy<?>[] selectionStrategies = {new RankSelection(), new RouletteWheelSelection(),
                                                    new StochasticUniversalSampling(),
                                                    new TournamentSelection(new Probability(0.95)),
                                                    new TruncationSelection(0.5)};
      
      selectionCombo = new JComboBox(selectionStrategies);
      selectionCombo.setRenderer(new DefaultListCellRenderer() {
        @Override

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      selectionLabel = new JLabel("Selection Strategy: ");
      innerPanel.add(selectionLabel);
      
      SelectionStrategy<?>[] selectionStrategies = {new RankSelection(), new RouletteWheelSelection(),
                                                    new StochasticUniversalSampling(),
                                                    new TournamentSelection(new Probability(0.95)),
                                                    new TruncationSelection(0.5)};
      
      selectionCombo = new JComboBox(selectionStrategies);
      selectionCombo.setRenderer(new DefaultListCellRenderer() {
        @Override

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      selectionLabel = new JLabel("Selection Strategy: ");
      innerPanel.add(selectionLabel);


      SelectionStrategy<?>[] selectionStrategies = {
          new RankSelection(), new RouletteWheelSelection(),
          new StochasticUniversalSampling(), new TournamentSelection(new Probability(0.95d)),
          new TruncationSelection(0.5d)};


      selectionCombo = new JComboBox(selectionStrategies);
      selectionCombo.setRenderer(new DefaultListCellRenderer() {
        @Override

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      selectionLabel = new JLabel("Selection Strategy: ");
      innerPanel.add(selectionLabel);


      SelectionStrategy<?>[] selectionStrategies = {
          new RankSelection(), new RouletteWheelSelection(),
          new StochasticUniversalSampling(), new TournamentSelection(new Probability(0.95)),
          new TruncationSelection(0.5)};


      selectionCombo = new JComboBox(selectionStrategies);
      selectionCombo.setRenderer(new DefaultListCellRenderer() {
        @Override

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        List<SelectionStrategy<? super T>> options = new LinkedList<SelectionStrategy<? super T>>();
        options.add(new RankSelection());
        options.add(new RouletteWheelSelection());
        options.add(new SigmaScaling());
        options.add(new StochasticUniversalSampling());
        options.add(new TournamentSelection(tournamentProbability));
        options.add(new TruncationSelection(truncationRatio));
        return options;
    }

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        ProbabilityParameterControl selectionPressure = new ProbabilityParameterControl(Probability.EVENS,
                                                                                        Probability.ONE,
                                                                                        2,
                                                                                        new Probability(0.85d));


        selectionStrategy = new TournamentSelection(selectionPressure.getNumberGenerator());
        innerPanel.add(selectionPressure.getControl());
        innerPanel.add(new JLabel("Population Size: "));
        populationSizeSpinner = new JSpinner(new SpinnerNumberModel(500, 10, 50000, 1));
        innerPanel.add(populationSizeSpinner);
        SpringUtilities.makeCompactGrid(innerPanel, 3, 2, 0, 6, 6, 6);

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                = new CachingFitnessEvaluator<List<ColouredPolygon>>(new PolygonImageEvaluator(targetImage));
            PolygonImageFactory factory = new PolygonImageFactory(canvasSize);
            EvolutionaryOperator<List<ColouredPolygon>> pipeline
                = probabilitiesPanel.createEvolutionPipeline(factory, canvasSize, rng);


            SelectionStrategy<Object> selection = new TournamentSelection(selectionPressureControl.getNumberGenerator());
            EvolutionEngine<List<ColouredPolygon>> engine
                = new GenerationalEvolutionEngine<List<ColouredPolygon>>(factory,
                                                                         pipeline,
                                                                         evaluator,
                                                                         selection,

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      selectionLabel = new JLabel("Selection Strategy: ");
      innerPanel.add(selectionLabel);
      
      SelectionStrategy<?>[] selectionStrategies = {new RankSelection(), new RouletteWheelSelection(),
                                                    new StochasticUniversalSampling(),
                                                    new TournamentSelection(new Probability(0.95)),
                                                    new TruncationSelection(0.5)};
      
      selectionCombo = new JComboBox(selectionStrategies);
      selectionCombo.setRenderer(new DefaultListCellRenderer() {
        @Override

View Full Code Here

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Related Classes of org.uncommons.watchmaker.framework.selection.TournamentSelection

org.apache.mahout.ga.watchmaker.travellingsalesman.StrategyPanel$EvolutionPanel

org.uncommons.watchmaker.examples.monalisa.MonaLisaApplet$EvolutionTask

org.uncommons.watchmaker.examples.sudoku.SudokuApplet

org.uncommons.watchmaker.swing.SelectionStrategyControl

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