Examples of ObjectiveFunction

org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
Scalar function to be optimized. @since 3.1
org.sat4j.pb.ObjectiveFunction
rinde.sim.pdptw.common.ObjectiveFunction
Instances of this interface define an objective on which a {@link StatisticsDTO} can be measured.
Implementations should not keep any internal state. @author Rinde van Lon

Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        // fails because MultiDirectional.iterateSimplex is looping forever
        // the while(true) should be replaced with a convergence check
        SimplexOptimizer optimizer = new SimplexOptimizer(1e-14, 1e-14);
        final Gaussian2D function = new Gaussian2D(0, 0, 1);
        PointValuePair estimate = optimizer.optimize(new MaxEval(1000),
                                                     new ObjectiveFunction(function),
                                                     GoalType.MAXIMIZE,
                                                     new InitialGuess(function.getMaximumPosition()),
                                                     new MultiDirectionalSimplex(2));
        final double EPSILON = 1e-5;
        final double expectedMaximum = function.getMaximum();

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

            this.factors = new BlockRealMatrix(factors);
            this.target  = target;
        }


        public ObjectiveFunction getObjectiveFunction() {
            return new ObjectiveFunction(new MultivariateFunction() {
                    public double value(double[] point) {
                        double[] y = factors.operate(point);
                        double sum = 0;
                        for (int i = 0; i < y.length; ++i) {
                            double ri = y[i] - target[i];

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        int dim = startPoint.length;
        final int numIterpolationPoints = 2 * dim + 1 + additionalInterpolationPoints;
        BOBYQAOptimizer optim = new BOBYQAOptimizer(numIterpolationPoints);
        PointValuePair result = boundaries == null ?
            optim.optimize(new MaxEval(maxEvaluations),
                           new ObjectiveFunction(func),
                           goal,
                           SimpleBounds.unbounded(dim),
                           new InitialGuess(startPoint)) :
            optim.optimize(new MaxEval(maxEvaluations),
                           new ObjectiveFunction(func),
                           goal,
                           new InitialGuess(startPoint),
                           new SimpleBounds(boundaries[0],
                                            boundaries[1]));
//        System.out.println(func.getClass().getName() + " = "

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        }
        return r / points.size();
    }


    public ObjectiveFunction getObjectiveFunction() {
        return new ObjectiveFunction(new MultivariateFunction() {
                public double value(double[] params)  {
                    Vector2D center = new Vector2D(params[0], params[1]);
                    double radius = getRadius(center);
                    double sum = 0;
                    for (Vector2D point : points) {

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        SimplexOptimizer optimizer = new SimplexOptimizer(1e-10, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MINIMIZE,
                                 new InitialGuess(new double[] { -3, 0 }),
                                 new NelderMeadSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xM, optimum.getPoint()[0], 2e-7);
        Assert.assertEquals(fourExtrema.yP, optimum.getPoint()[1], 2e-5);

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        SimplexOptimizer optimizer = new SimplexOptimizer(1e-10, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MINIMIZE,
                                 new InitialGuess(new double[] { 1, 0 }),
                                 new NelderMeadSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xP, optimum.getPoint()[0], 5e-6);
        Assert.assertEquals(fourExtrema.yM, optimum.getPoint()[1], 6e-6);

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        SimplexOptimizer optimizer = new SimplexOptimizer(1e-10, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MAXIMIZE,
                                 new InitialGuess(new double[] { -3, 0 }),
                                 new NelderMeadSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xM, optimum.getPoint()[0], 1e-5);
        Assert.assertEquals(fourExtrema.yM, optimum.getPoint()[1], 3e-6);

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

        SimplexOptimizer optimizer = new SimplexOptimizer(1e-10, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MAXIMIZE,
                                 new InitialGuess(new double[] { 1, 0 }),
                                 new NelderMeadSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xP, optimum.getPoint()[0], 4e-6);
        Assert.assertEquals(fourExtrema.yP, optimum.getPoint()[1], 5e-6);

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction


        Rosenbrock rosenbrock = new Rosenbrock();
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-3);
        PointValuePair optimum
        = optimizer.optimize(new MaxEval(100),
                             new ObjectiveFunction(rosenbrock),
                             GoalType.MINIMIZE,
                             new InitialGuess(new double[] { -1.2, 1 }),
                                new NelderMeadSimplex(new double[][] {
                                        { -1.2,  1 },
                                        { 0.9, 1.2 },

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Examples of org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction

    public void testPowell() {
        Powell powell = new Powell();
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-3);
        PointValuePair optimum =
            optimizer.optimize(new MaxEval(200),
                               new ObjectiveFunction(powell),
                               GoalType.MINIMIZE,
                               new InitialGuess(new double[] { 3, -1, 0, 1 }),
                               new NelderMeadSimplex(4));
        Assert.assertEquals(powell.getCount(), optimizer.getEvaluations());
        Assert.assertTrue(optimizer.getEvaluations() > 110);

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