net.sourceforge.cilib.functions.continuous.bbob.BBOB20 Maven / Gradle / Ivy
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* _____ _/ /_/ /_ Computational Intelligence Library (CIlib)
* / ___/ / / / __ \ (c) CIRG @ UP
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*/
package net.sourceforge.cilib.functions.continuous.bbob;
import net.sourceforge.cilib.functions.ContinuousFunction;
import net.sourceforge.cilib.functions.continuous.unconstrained.Schwefel;
import net.sourceforge.cilib.functions.continuous.decorators.IllConditionedFunctionDecorator;
import net.sourceforge.cilib.type.types.container.Vector;
import net.sourceforge.cilib.math.random.UniformDistribution;
/*
* F20: Schwefel Function
*/
public class BBOB20 extends AbstractBBOB {
private Vector uniform;
private IllConditionedFunctionDecorator ill;
private UniformDistribution dist;
public BBOB20() {
this.ill = Helper.newIllConditioned(10, new Inner());
this.dist = new UniformDistribution();
}
@Override
public Double f(Vector input) {
int size = input.size();
if (xOpt.size() != size) {
uniform = Vector.fill(1, size);
for (int i = 0; i < size; i++) {
uniform.setReal(i, Math.signum(dist.getRandomNumber() - 0.5));
}
xOpt = Vector.fill(4.2096874633 / 2.0, size).multiply(uniform);
fOpt = Helper.randomFOpt();
};
Vector xHat = input.multiply(uniform).multiply(2);
Vector zHat = xHat.getClone();
for (int i = 0; i < size - 1; i++) {
zHat.setReal(i + 1, xHat.doubleValueOf(i + 1)
+ 0.25 * (xHat.doubleValueOf(i) - xOpt.doubleValueOf(i)));
}
return ill.f(zHat.subtract(xOpt)) + fOpt;
}
private class Inner extends ContinuousFunction {
private Penalty pen;
private Schwefel schwefel;
public Inner() {
this.pen = Helper.newPenalty(5.0);
this.schwefel = new Schwefel();
}
@Override
public Double f(Vector zHat) {
Vector z = zHat.plus(xOpt).multiply(100);
return (schwefel.f(z) / z.size()) + 100 * pen.f(z.multiply(0.01));
}
}
}
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