List of randomize() Examples

Examples of randomize()

com.heatonresearch.aifh.examples.ca.mergelife.physics.MergePhysics.randomize()
{@inheritDoc}
com.heatonresearch.aifh.examples.ca.mergelife.physics.Physics.randomize()
Randomize the physics to random values.
com.heatonresearch.aifh.examples.ca.mergelife.universe.Universe.randomize()
Randomize the universe. @param rnd A random number generator.
com.heatonresearch.aifh.examples.ca.mergelife.universe.UniverseRunner.randomize()
Randomize the universe grid. @param rnd Random number generator.
ise.mace.simulations.evolution.SimulationGenome.randomize()
org.encog.mathutil.randomize.ConsistentRandomizer.randomize()
Generate a random number based on the range specified in the constructor. @param d The range randomizer ignores this value. @return The random number.
org.encog.mathutil.randomize.ConstRandomizer.randomize()
Generate a random number based on the range specified in the constructor. @param d The range randomizer ignores this value. @return The random number.
org.encog.mathutil.randomize.Distort.randomize()
Distort the random number by the factor that was specified in the constructor. @param d The number to distort. @return The result.
org.encog.mathutil.randomize.GaussianRandomizer.randomize()
Generate a random number. @param d The input value, not used. @return The random number.
org.encog.mathutil.randomize.Randomizer.randomize()
Randomize the synapses and bias values in the basic network based on an array, modify the array. Previous values may be used, or they may be discarded, depending on the randomizer. @param network A network to randomize.
org.encog.ml.prg.extension.ProgramExtensionTemplate.randomize()
Randomize this actual tree node. @param rnd Random number generator. @param desiredType The desired type of the randomization, if allowed. @param actual The actual program node to randomize. @param minValue The minimum value to use for randomization. @param maxValue The maximum value to use for randomization.
org.encog.neural.flat.FlatNetwork.randomize()
Perform a simple randomization of the weights of the neural network between -1 and 1.
org.jwildfire.create.tina.random.AbstractRandomGenerator.randomize()
org.jwildfire.create.tina.random.MarsagliaRandomGenerator.randomize()
org.rsbot.script.wrappers.RSTile.randomize()
Randomizes this tile. @param maxXDeviation Max X distance from tile x. @param maxYDeviation Max Y distance from tile y. @return The randomized tile
org.spout.vanilla.world.generator.nether.object.GlowstonePatchObject.randomize()
org.spout.vanilla.world.generator.normal.object.BlockPatchObject.randomize()
org.spout.vanilla.world.generator.normal.object.CactusStackObject.randomize()
org.spout.vanilla.world.generator.normal.object.DungeonObject.randomize()
org.spout.vanilla.world.generator.normal.object.HugeMushroomObject.randomize()
org.spout.vanilla.world.generator.normal.object.SugarCaneStackObject.randomize()
org.spout.vanilla.world.generator.normal.object.tree.TreeObject.randomize()
org.spout.vanilla.world.generator.structure.StructurePiece.randomize()
org.spout.vanilla.world.generator.theend.object.SpireObject.randomize()
prolog.core.Cat.randomize()
weka.core.Instances.randomize()
Shuffles the instances in the set so that they are ordered randomly. @param random a random number generator

Examples of com.heatonresearch.aifh.examples.ca.mergelife.physics.MergePhysics.randomize()


        final Universe universe = new Universe(height, width, 3);
        final Physics physics = new MergePhysics(universe);


        universe.randomize(rnd);
        physics.randomize();


        this.universeRunner = new UniverseRunner(universe, physics);
        this.visualizer = new UniverseVisualizer(universe,
                MultiverseViewer.getConfig().getZoom());
    }

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Examples of com.heatonresearch.aifh.examples.ca.mergelife.physics.Physics.randomize()


        final Universe universe = new Universe(height, width, 3);
        final Physics physics = new MergePhysics(universe);


        universe.randomize(rnd);
        physics.randomize();


        this.universeRunner = new UniverseRunner(universe, physics);
        this.visualizer = new UniverseVisualizer(universe,
                MultiverseViewer.getConfig().getZoom());
    }

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Examples of com.heatonresearch.aifh.examples.ca.mergelife.universe.Universe.randomize()

                / MultiverseViewer.getConfig().getZoom();


        final Universe universe = new Universe(height, width, 3);
        final Physics physics = new MergePhysics(universe);


        universe.randomize(rnd);
        physics.randomize();


        this.universeRunner = new UniverseRunner(universe, physics);
        this.visualizer = new UniverseVisualizer(universe,
                MultiverseViewer.getConfig().getZoom());

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Examples of com.heatonresearch.aifh.examples.ca.mergelife.universe.UniverseRunner.randomize()

            if (this.copySource != null) {
                final UniverseRunner target = this.grid[row][col]
                        .getUniverseRunner();
                target.getPhysics().copyData(
                        this.copySource.getPhysics().getData());
                target.randomize(this.rnd);
            } else if (this.crossoverParent1 != null
                    && this.crossoverParent2 == null) {
                this.crossoverParent2 = this.grid[row][col].getUniverseRunner();
            } else  {
                final UniverseRunner target = this.grid[row][col]

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Examples of ise.mace.simulations.evolution.SimulationGenome.randomize()

  }


  public static void main(String[] args) throws InterruptedException
  {
    SimulationGenome genome = new SimulationGenome(System.currentTimeMillis());
    genome.randomize();
    GeneticAgentSimulation sim = new GeneticAgentSimulation(genome);
    sim.run();
    ArrayList<PublicAgentDataModel> agentDataModels = sim.agentDataModels();
    for (PublicAgentDataModel dataModel : agentDataModels)
    {

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Examples of org.encog.mathutil.randomize.ConsistentRandomizer.randomize()

   */
  @Override
  public final void reset(final int seed) {
    final ConsistentRandomizer randomize = new ConsistentRandomizer(-1, 1,
        seed);
    randomize.randomize(this.weightsInputToInstar);
    randomize.randomize(this.weightsInstarToOutstar);
  }


  /**
   * {@inheritDoc}

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Examples of org.encog.mathutil.randomize.ConsistentRandomizer.randomize()

  @Override
  public final void reset(final int seed) {
    final ConsistentRandomizer randomize = new ConsistentRandomizer(-1, 1,
        seed);
    randomize.randomize(this.weightsInputToInstar);
    randomize.randomize(this.weightsInstarToOutstar);
  }


  /**
   * {@inheritDoc}
   */

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Examples of org.encog.mathutil.randomize.ConsistentRandomizer.randomize()


  public static FlatNetwork createNetwork() {
    BasicNetwork network = EncogUtility
        .simpleFeedForward(2, 4, 0, 1, false);
    Randomizer randomizer = new ConsistentRandomizer(-1, 1);
    randomizer.randomize(network);
    return network.getStructure().getFlat().clone();
  }


  public static void main(String[] args) {

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Examples of org.encog.mathutil.randomize.ConsistentRandomizer.randomize()

  private void optionConsistent(RandomizeNetworkDialog dialog) {
    int seed = dialog.getSeedValue().getValue();
    double min = dialog.getConstLow().getValue();
    double max = dialog.getConstHigh().getValue();
    ConsistentRandomizer c = new ConsistentRandomizer(min, max, seed);
    c.randomize(this.method);
    setDirty(true);
  }


  private void optionPerturb(RandomizeNetworkDialog dialog) {
    double percent = dialog.getPerturbPercent().getValue();

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Examples of org.encog.mathutil.randomize.ConstRandomizer.randomize()

  }


  private void optionConstant(RandomizeNetworkDialog dialog) {
    double value = dialog.getConstantValue().getValue();
    ConstRandomizer r = new ConstRandomizer(value);
    r.randomize((BasicNetwork)this.method);
    setDirty(true);
  }


  private void optionConsistent(RandomizeNetworkDialog dialog) {
    int seed = dialog.getSeedValue().getValue();

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