Package com.heatonresearch.aifh.genetic.crossover

Examples of com.heatonresearch.aifh.genetic.crossover.SpliceNoRepeat


        ScoreFunction score = new TSPScore(cities);

        genetic = new BasicEA(pop, score);

        genetic.addOperation(0.9, new SpliceNoRepeat(CITIES / 3));
        genetic.addOperation(0.1, new MutateShuffle());

        int sameSolutionCount = 0;
        int iteration = 1;
        double lastSolution = Double.MAX_VALUE;
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                return false;
            }
        });

        // Create a splice (no repeat) operator, length = 5.  Use it 1.0 (100%) of the time.
        SpliceNoRepeat opp = new SpliceNoRepeat(5);
        train.addOperation(1.0, opp);

        // Create two parents, the genes are set to 1,2,3,4,5,7,8,9,10
        // and 10,9,8,7,6,5,4,3,2,1.
        IntegerArrayGenome[] parents = new IntegerArrayGenome[2];
        parents[0] = (IntegerArrayGenome) pop.getGenomeFactory().factor();
        parents[1] = (IntegerArrayGenome) pop.getGenomeFactory().factor();
        for (int i = 1; i <= 10; i++) {
            parents[0].getData()[i - 1] = i;
            parents[1].getData()[i - 1] = 11 - i;
        }

        // Create an array to hold the offspring.
        IntegerArrayGenome[] offspring = new IntegerArrayGenome[2];

        // Perform the operation
        opp.performOperation(rnd, parents, 0, offspring, 0);

        // Display the results
        System.out.println("Parent 1: " + Arrays.toString(parents[0].getData()));
        System.out.println("Parent 2: " + Arrays.toString(parents[1].getData()));
        System.out.println("Offspring 1: " + Arrays.toString(offspring[0].getData()));
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