/**
* Update the personal best position of a particle.
*
* @param particleIndex index of the particle in the swarm
* @param particlePosition the particle current position vector
*/
protected void updatePersonalBestPosition(int particleIndex, double[] particlePosition) {
// set the network weights and biases from the vector
double score = m_calculateScore.calculateScore(m_networks[particleIndex]);
// update the best vectors (g and i)
if ((m_bestErrors[particleIndex] == 0) || isScoreBetter(score, m_bestErrors[particleIndex])) {
m_bestErrors[particleIndex] = score;
m_va.copy(m_bestVectors[particleIndex], particlePosition);
}
}
/**
* Compares two scores.
*
* @param score1 a score
* @param score2 a score
* @return true if score1 is better than score2
*/
boolean isScoreBetter(double score1, double score2) {
return ((m_calculateScore.shouldMinimize() && (score1 < score2))
|| ((!m_calculateScore.shouldMinimize()) && (score1 > score2)));
}
