@Override
public Vector get(Particle particle) {
Vector localGuide = (Vector) particle.getLocalGuide(); // personal best (yi)
Vector globalGuide = (Vector) particle.getGlobalGuide(); // global best (y^i)
Vector.Builder builder = Vector.newBuilder();
for (int i = 0; i < particle.getDimension(); ++i) {
// double tmp1 = cognitive.getParameter();
// double tmp2 = social.getParameter();
double sigma = Math.abs(localGuide.doubleValueOf(i) - globalGuide.doubleValueOf(i));
if (sigma == 0) {
sigma = 1;
}
// System.out.println("Sigma: "+sigma);
// according to Kennedy
double mean = (localGuide.doubleValueOf(i) + globalGuide.doubleValueOf(i)) / 2;
// andries proposal: double mean = (tmp1*personalBestPosition.getReal(i) +
// tmp2*nBestPosition.getReal(i)) / (tmp1+tmp2);
if (Rand.nextDouble() < p) {
builder.add(
localGuide.doubleValueOf(i) + this.cauchyDistribution.getRandomNumber(mean, sigma));
} else {
builder.add(
globalGuide.doubleValueOf(i) + this.gaussianDistribution.getRandomNumber(mean, sigma));
}
}
return builder.build();
}
