Examples of com.heatonresearch.aifh.randomize.GenerateRandom

Package com.heatonresearch.aifh.randomize

Examples of com.heatonresearch.aifh.randomize.GenerateRandom

com.heatonresearch.aifh.randomize.GenerateRandom
Interface that defines how random numbers are generated. Provides the means to generate both uniform and normal (gaussian) distributed random numbers.

     */
    public static void spliceNoRepeat() {
        System.out.println("Crossover Splice No Repeat");


        // Create a random number generator
        GenerateRandom rnd = new MersenneTwisterGenerateRandom();


        // Create a new population.
        Population pop = new BasicPopulation();
        pop.setGenomeFactory(new IntegerArrayGenomeFactory(10));

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    /**
     * Perform a reset.
     */
    public void performReset() {
        boolean[][] grid = this.worldArea.getBackupGrid();
        GenerateRandom rnd = new MersenneTwisterGenerateRandom();


        for (int row = 0; row < this.worldArea.getRows(); row++) {
            for (int col = 0; col < this.worldArea.getCols(); col++) {
                grid[row][col] = rnd.nextBoolean();
            }
        }


        this.worldArea.advanceBackupGrid();

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            genome.setScore(i);
            genome.setAdjustedScore(i);
            pop.getSpecies().get(0).add(genome);
        }


        GenerateRandom rnd = new MersenneTwisterGenerateRandom();


        // Create a trainer with a very simple score function.  We do not care
        // about the calculation of the score, as they will never be calculated.
        // We only care that we are maximizing.
        EvolutionaryAlgorithm train = new BasicEA(pop, new ScoreFunction() {

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