Examples with CompactSlidingGA ntuple.CompactSlidingGA used on opensource projects

Example 1 with CompactSlidingGA

use of ntuple.CompactSlidingGA in project SimpleAsteroids by ljialin.

the class TestEAGraphRunTrials method main.

public static void main(String[] args) throws Exception {
    // create and run a test
    // showing flexibility to create multiple graphs
    int nDims = 100, mValues = 2;
    double noise = 1.0;
    int nEvals = 1000;
    int nTrials = 10;
    NoisySolutionEvaluator solutionEvaluator = new EvalNoisyWinRate(nDims, mValues, noise);
    solutionEvaluator = new EvalMaxM(nDims, mValues, noise);
    // solutionEvaluator = new Eval2DNonLinear(8, noise);
    TestEAGraph tester = new TestEAGraph(solutionEvaluator, nEvals).setColor(Color.red);
    // Set up all the algorithms to test
    SimpleRMHC rmhc1 = new SimpleRMHC(1);
    SimpleRMHC rmhc5 = new SimpleRMHC(5);
    SimpleGA sga = new SimpleGA().setPopulationSize(20).setCrossoverRate(0.5);
    int windowLength = 40;
    CompactSlidingGA slidingGA = new CompactSlidingGA().setHistoryLength(windowLength);
    slidingGA.useBayesUpdates = false;
    // nDims * windowLength / 2;
    slidingGA.K = 1000;
    int nParents = 2;
    CompactBinaryGA cga = new CompactBinaryGA().setParents(nParents);
    // cga.K = nDims / 2; //  * nParents;  // setting from Jialin
    // nDims * nParents;
    cga.K = 1000;
    // cga.nToFlip = 2;
    // add them to the test list
    ArrayList<EvoAlg> evos = new ArrayList<>();
    // evos.add(new SlidingMeanEDA().setHistoryLength(30));
    evos.add(sga);
    evos.add(rmhc1);
    evos.add(rmhc5);
    evos.add(slidingGA);
    evos.add(cga);
    nParents = 20;
    CompactBinaryGA cga2 = new CompactBinaryGA().setParents(nParents);
    cga2.K = nDims * nParents * 2;
    // evos.add(cga2);
    // evos.add(rmhc1);
    // evos.add(rmhc5);
    // evos.add(new SlidingMeanEDA().setHistoryLength(30));
    Color[] colors = { Color.red, Color.green, Color.blue, Color.yellow, Color.cyan, Color.pink, Color.magenta };
    LineChart lineChart = new LineChart().setTitle(String.format("Noisy OneMax, %d dimensions", nDims));
    lineChart.setXLabel("Fitness Evaluations").setYLabel("Noise-Free Fitness");
    lineChart.xAxis = new LineChartAxis(new double[] { 0, 200, 400, 600, 800, 1000 });
    lineChart.yAxis = new LineChartAxis(new double[] { 40, 50, 60, 70, 80, 90, 100 });
    for (int i = 0; i < evos.size(); i++) {
        ElapsedTimer elapsedTimer = new ElapsedTimer();
        tester.setColor(colors[i]);
        TestEvoResults results = tester.runTrials(evos.get(i), nTrials);
        System.out.println("Tested: " + evos.get(i).getClass().getName());
        System.out.println(results.trueOpt);
        System.out.println(elapsedTimer);
        System.out.println();
        lineChart.addLines(results.linePlots);
        lineChart.addLineGroup(results.getLineGroup().setColor(colors[i]).setName(results.name));
    }
    LineGroup pVec = new LineGroup().setName("P-Vec").setColor(Color.white);
    for (ArrayList<Double> extra : extras) {
        // lineChart.addLine(new LinePlot().setColor(Color.white).setData(extra));
        pVec.add(extra);
    }
    // lineChart.addLineGroup(pVec);
    new JEasyFrame(lineChart, "Fitness Evolution");
    String dir = "results/javares/sweda/";
    // String filename = "resultsOneMax.png";
    String filename = "resultsOneMaxPVec.png";
    lineChart.saveImage(dir, filename);
}

Example 2 with CompactSlidingGA

use of ntuple.CompactSlidingGA in project SimpleAsteroids by ljialin.

the class EvoSGATest method main.

public static void main(String[] args) {
    EvoAlg evoAlg = new CompactSlidingGA();
    evoAlg = new NTupleBanditEA();
    // evoAlg = new SlidingMeanEDA();
    evoAlg = new GridSearch();
    StatSummary ss = new StatSummary("Overall results: " + evoAlg.getClass().getSimpleName());
    int nTrials = 1;
    for (int i = 0; i < nTrials; i++) {
        ss.add(runTrial(evoAlg));
    }
    System.out.println(ss);
}

Example 3 with CompactSlidingGA

use of ntuple.CompactSlidingGA in project SimpleAsteroids by ljialin.

the class AgentOptTest method main.

// this is just a placeholder for the moment
// the idea is within this package to include
// some very clean and simple examples of how
// to set up GVGAI agents ready for optimisation
public static void main(String[] args) {
    EvoAlg evoAlg = new CompactSlidingGA();
    evoAlg = new NTupleBanditEA();
    // evoAlg = new SlidingMeanEDA();
    StatSummary ss = new StatSummary("Overall results: " + evoAlg.getClass().getSimpleName());
    int nTrials = 1;
    for (int i = 0; i < nTrials; i++) {
        ss.add(runTrial(evoAlg));
    }
    System.out.println(ss);
}