org.qcri.rheem.profiler.log.Variable Maven / Gradle / Ivy
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package org.qcri.rheem.profiler.log;
import java.util.Random;
/**
* A variable that can be altered by an optimization algorithm.
*/
public class Variable {
private final String id;
private final int index;
private double minValue = 0d, maxValue = Double.POSITIVE_INFINITY;
public Variable(int index, String id) {
this.index = index;
this.id = id;
}
public String getId() {
return this.id;
}
public double getValue(Individual individual) {
return individual.getGenome()[this.index];
}
public double createRandomValue(Random random) {
if (!Double.isFinite(this.minValue)) {
if (!Double.isInfinite(this.maxValue))
return random.nextGaussian() * 1e9;
else
return this.maxValue - Math.abs(random.nextGaussian()) * 1e9;
} else if (!Double.isFinite(this.maxValue)) {
return this.minValue + Math.abs(random.nextGaussian()) * 1e9;
}
return random.nextDouble() * (this.maxValue - this.minValue) + this.minValue;
}
public double mutate(double currentValue, Random random) {
final double deltaSmoothing = 1E-9;
if (!Double.isFinite(this.minValue)) {
if (!Double.isInfinite(this.maxValue)) {
return currentValue + random.nextGaussian() * Math.abs(currentValue);
} else {
double delta = this.maxValue - currentValue;
return this.maxValue - Math.abs(random.nextGaussian()) * delta;
}
} else if (!Double.isFinite(this.maxValue)) {
double delta = currentValue - this.minValue + deltaSmoothing;
final double randomGene = currentValue + random.nextGaussian() * delta / 2;
return randomGene < this.minValue ?
2 * this.minValue - randomGene :
randomGene;
}
return random.nextDouble() * (this.maxValue - this.minValue) + this.minValue;
}
public void setRandomValue(Individual individual, Random random) {
double randomValue = this.createRandomValue(random);
individual.setGene(this.index, randomValue, Double.NaN);
}
public int getIndex() {
return index;
}
@Override
public String toString() {
return "Variable[id=" + id + ", index=" + index + ']';
}
}
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