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

        SimplexOptimizer optimizer = new SimplexOptimizer(new SimpleValueChecker(1e-15, 1e-30));
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(200),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MAXIMIZE,
                                 new InitialGuess(new double[] { 1, 0 }),
                                 new MultiDirectionalSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xP, optimum.getPoint()[0], 2e-8);
        Assert.assertEquals(fourExtrema.yP, optimum.getPoint()[1], 3e-6);

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


        count = 0;
        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 MultiDirectionalSimplex(new double[][] {
                                        { -1.2,  1.0 },
                                        { 0.9, 1.2 },

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


        count = 0;
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-3);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(1000),
                                 new ObjectiveFunction(powell),
                                 GoalType.MINIMIZE,
                                 new InitialGuess(new double[] { 3, -1, 0, 1 }),
                                 new MultiDirectionalSimplex(4));
        Assert.assertEquals(count, optimizer.getEvaluations());
        Assert.assertTrue(optimizer.getEvaluations() > 800);

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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

        SimplexOptimizer optimizer = new SimplexOptimizer(1e-11, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(200),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MINIMIZE,
                                 new InitialGuess(new double[] { -3, 0 }),
                                 new MultiDirectionalSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xM, optimum.getPoint()[0], 4e-6);
        Assert.assertEquals(fourExtrema.yP, optimum.getPoint()[1], 3e-6);

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

        SimplexOptimizer optimizer = new SimplexOptimizer(1e-11, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(200),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MINIMIZE,
                                 new InitialGuess(new double[] { 1, 0 }),
                                 new MultiDirectionalSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xP, optimum.getPoint()[0], 2e-8);
        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-11, 1e-30);
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(200),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MAXIMIZE,
                                 new InitialGuess(new double[] { -3.0, 0.0 }),
                                 new MultiDirectionalSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xM, optimum.getPoint()[0], 7e-7);
        Assert.assertEquals(fourExtrema.yM, optimum.getPoint()[1], 3e-7);

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

        SimplexOptimizer optimizer = new SimplexOptimizer(new SimpleValueChecker(1e-15, 1e-30));
        final FourExtrema fourExtrema = new FourExtrema();


        final PointValuePair optimum
            = optimizer.optimize(new MaxEval(200),
                                 new ObjectiveFunction(fourExtrema),
                                 GoalType.MAXIMIZE,
                                 new InitialGuess(new double[] { 1, 0 }),
                                 new MultiDirectionalSimplex(new double[] { 0.2, 0.2 }));
        Assert.assertEquals(fourExtrema.xP, optimum.getPoint()[0], 2e-8);
        Assert.assertEquals(fourExtrema.yP, optimum.getPoint()[1], 3e-6);

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


        count = 0;
        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 MultiDirectionalSimplex(new double[][] {
                                        { -1.2,  1.0 },
                                        { 0.9, 1.2 },

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


        count = 0;
        SimplexOptimizer optimizer = new SimplexOptimizer(-1, 1e-3);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(1000),
                                 new ObjectiveFunction(powell),
                                 GoalType.MINIMIZE,
                                 new InitialGuess(new double[] { 3, -1, 0, 1 }),
                                 new MultiDirectionalSimplex(4));
        Assert.assertEquals(count, optimizer.getEvaluations());
        Assert.assertTrue(optimizer.getEvaluations() > 800);

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