/// <summary>
/// Update the personal best position of a particle.
/// </summary>
/// <param name="particleIndex">index of the particle in the swarm</param>
/// <param name="particlePosition">the particle current position vector</param>
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);
}
}
/// <summary>
/// Perform the task.
/// </summary>
public void PerformTask()
{
IMLMethod phenotype = owner.CODEC.Decode(genome);
if (phenotype != null)
{
double score;
try
{
score = scoreFunction.CalculateScore(phenotype);
}
catch (EARuntimeError e)
{
score = Double.NaN;
}
genome.Score = score;
genome.AdjustedScore = score;
BasicEA.CalculateScoreAdjustment(genome, adjusters);
}
}
/// <summary>
/// Calculate the genome's score.
/// </summary>
///
/// <param name="genome">The genome to calculate for.</param>
/// <returns>The calculated score.</returns>
public double CalculateScore(IGenome genome)
{
var network = (IMLRegression)genome.Organism;
return(_calculateScore.CalculateScore(network));
}
