Examples of MersenneTwisterRNG

org.uncommons.maths.random.MersenneTwisterRNG
ath.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html" target="_top">Mersenne Twister algorithm developed by Makoto Matsumoto and Takuji Nishimura.

This is a very fast random number generator with good statistical properties (it passes the full DIEHARD suite). This is the best RNG for most experiments. If a non-linear generator is required, use the slower {@link AESCounterRNG} RNG.
This PRNG is deterministic, which can be advantageous for testing purposes since the output is repeatable. If multiple instances of this class are created with the same seed they will all have identical output.

This code is translated from the original C version and assumes that we will always seed from an array of bytes. I don't pretend to know the meanings of the magic numbers or how it works, it just does.

NOTE: Because instances of this class require 128-bit seeds, it is not possible to seed this RNG using the {@link #setSeed(long)} method inheritedfrom {@link Random}. Calls to this method will have no effect. Instead the seed must be set by a constructor.
@author Makoto Matsumoto and Takuji Nishimura (original C version) @author Daniel Dyer (Java port)

Examples of org.uncommons.maths.random.MersenneTwisterRNG

        return new SwingBackgroundTask<Sudoku>()
        {
            @Override
            protected Sudoku performTask()
            {
                Random rng = new MersenneTwisterRNG();
                List<EvolutionaryOperator<Sudoku>> operators = new ArrayList<EvolutionaryOperator<Sudoku>>(2);
                // Cross-over rows between parents (so offspring is x rows from parent1 and
                // y rows from parent2).
                operators.add(new SudokuVerticalCrossover());
                // Mutate the order of cells within individual rows.

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

     * specified cities once.
     */
    public List<String> calculateShortestRoute(Collection<String> cities,
                                               final ProgressListener progressListener)
    {
        Random rng = new MersenneTwisterRNG();


        // Set-up evolution pipeline (cross-over followed by mutation).
        List<EvolutionaryOperator<List<String>>> operators = new ArrayList<EvolutionaryOperator<List<String>>>(2);
        if (crossover)
        {

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

        EvolutionaryOperator<String> pipeline = new EvolutionPipeline<String>(operators);
        EvolutionEngine<String> engine = new GenerationalEvolutionEngine<String>(factory,
                                                                                 pipeline,
                                                                                 new StringEvaluator(target),
                                                                                 new RouletteWheelSelection(),
                                                                                 new MersenneTwisterRNG());
        engine.addEvolutionObserver(new EvolutionLogger());
        return engine.evolve(100, // 100 individuals in the population.
                             5, // 5% elitism.
                             new TargetFitness(0, false));
    }

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

    @Test(groups = "display-required")
    public void testPerfectMatch()
    {
        Dimension canvasSize = new Dimension(100, 100);
        PolygonImageFactory factory = new PolygonImageFactory(canvasSize);
        List<ColouredPolygon> image = factory.generateRandomCandidate(new MersenneTwisterRNG());


        BufferedImage targetImage = new PolygonImageRenderer(canvasSize, false, null).render(image);
        PolygonImageEvaluator evaluator = new PolygonImageEvaluator(targetImage);


        double fitness = evaluator.getFitness(image, null);

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

    @Test(groups = "display-required")
    public void testImageConversion()
    {
        Dimension canvasSize = new Dimension(100, 100);
        PolygonImageFactory factory = new PolygonImageFactory(canvasSize);
        List<ColouredPolygon> image = factory.generateRandomCandidate(new MersenneTwisterRNG());


        BufferedImage targetImage = new PolygonImageRenderer(canvasSize, false, null).render(image);
        // Convert target image to some format that will have to be converted to INT_RGB.
        BufferedImage newImage = new BufferedImage(targetImage.getWidth(),
                                                   targetImage.getHeight(),

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

    testSeed = true;
  }


  private Random buildRandom() {
    if (testSeed) {
      return new MersenneTwisterRNG(STANDARD_SEED);
    } else if (fixedSeed == null) {
      // Force use of standard generator, and disallow use of those based on /dev/random since
      // it causes hangs on Ubuntu
      try {
        return new MersenneTwisterRNG(SEED_GENERATOR);
      } catch (SeedException se) {
        // Can't happen
        throw new IllegalStateException(se);
      }
    } else {
      return new MersenneTwisterRNG(RandomUtils.longSeedtoBytes(fixedSeed));
    }
  }

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

  }


  private Random buildRandom() {
    if (fixedSeed == null) {
      if (testSeed) {
        return new MersenneTwisterRNG(STANDARD_SEED);
      } else {
        // Force use of standard generator, and disallow use of those based on /dev/random since
        // it causes hangs on Ubuntu
        try {
          return new MersenneTwisterRNG(SEED_GENERATOR);
        } catch (SeedException se) {
          // Can't happen
          throw new IllegalStateException(se);
        }
      }
    } else {
      return new MersenneTwisterRNG(RandomUtils.longSeedtoBytes(fixedSeed));
    }
  }

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Examples of org.uncommons.maths.random.MersenneTwisterRNG

  @Override
  public void setSeed(long seed) {
    // Since this will be called by the java.util.Random() constructor before we construct
    // the delegate... and because we don't actually care about the result of this for our
    // purpose:
    random = new MersenneTwisterRNG(RandomUtils.longSeedtoBytes(seed));
  }

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