/// <summary>
/// Raises the CalculateObjective event.
/// </summary>
/// <param name="e"></param>
protected virtual void OnCalculateObjective(CalculateObjectiveEventArgs e)
{
if (CalculateObjective != null)
{
CalculateObjective(this, e);
}
}
void Evaluate()
{
//
// Calculate the normalized objective value of each chromosome. If we have
// an objective value that is actually a measure of error (Inverted
// objective), we negate it before passing it to the Scaler.
//
foreach (Chromosome c in Population.Chromosomes)
{
//
// Give the Objective delegate first crack at supplying the objective,
// then call any attached event handlers. This way, an event handler
// can be used to supply the RawObjective (which is friendly from a
// visual designer point of view), or the delegate can be installed
// manually to avoid the performance overhead of all of those events
// being raised.
//
if (Objective != null)
{
c.RawObjective = Objective(c);
}
if (CalculateObjective != null)
{
CalculateObjectiveEventArgs e = new CalculateObjectiveEventArgs();
e.Chromosome = c;
OnCalculateObjective(e);
}
if (c.RawObjective > highestObjective)
{
highestObjective = c.RawObjective;
}
if (c.RawObjective < lowestObjective)
{
lowestObjective = c.RawObjective;
}
}
double bias = (objectiveType == ObjectiveType.MinimizeObjective) ? Math.Abs(highestObjective) : Math.Abs(lowestObjective);
foreach (Chromosome c in Population.Chromosomes)
{
//
// If the objective is a measure of error, invert it.
//
c.NormalizedObjective = (objectiveType == ObjectiveType.MinimizeObjective) ? -c.RawObjective : c.RawObjective;
//
// Now add in the constant bias that forces all[*] values to
// be positive.
//
c.NormalizedObjective += bias;
}
//
// Sort the chromosomes by objective value.
//
Array.Sort(Population.Chromosomes, new Scaling.ObjectiveComparer());
//
// Now that all the objective values have been calculated,
// determine the fitness of each individual.
//
Scaler(Population.Chromosomes);
// TODO: Track the total fitness here so that it can be passed to
// the selection routine.
}
void Evaluate()
{
//
// Calculate the normalized objective value of each chromosome. If we have
// an objective value that is actually a measure of error (Inverted
// objective), we negate it before passing it to the Scaler.
//
foreach(Chromosome c in Population.Chromosomes)
{
//
// Give the Objective delegate first crack at supplying the objective,
// then call any attached event handlers. This way, an event handler
// can be used to supply the RawObjective (which is friendly from a
// visual designer point of view), or the delegate can be installed
// manually to avoid the performance overhead of all of those events
// being raised.
//
if ( Objective != null )
{
c.RawObjective = Objective(c);
}
if ( CalculateObjective != null )
{
CalculateObjectiveEventArgs e = new CalculateObjectiveEventArgs();
e.Chromosome = c;
OnCalculateObjective( e );
}
if ( c.RawObjective > highestObjective )
{
highestObjective = c.RawObjective;
}
if ( c.RawObjective < lowestObjective )
{
lowestObjective = c.RawObjective;
}
}
double bias = (objectiveType == ObjectiveType.MinimizeObjective) ? Math.Abs(highestObjective) : Math.Abs(lowestObjective);
foreach(Chromosome c in Population.Chromosomes)
{
//
// If the objective is a measure of error, invert it.
//
c.NormalizedObjective = (objectiveType == ObjectiveType.MinimizeObjective) ? -c.RawObjective : c.RawObjective;
//
// Now add in the constant bias that forces all[*] values to
// be positive.
//
c.NormalizedObjective += bias;
}
//
// Sort the chromosomes by objective value.
//
Array.Sort( Population.Chromosomes, new Scaling.ObjectiveComparer() );
//
// Now that all the objective values have been calculated,
// determine the fitness of each individual.
//
Scaler(Population.Chromosomes);
// TODO: Track the total fitness here so that it can be passed to
// the selection routine.
}
/// <summary>
/// Raises the CalculateObjective event.
/// </summary>
/// <param name="e"></param>
protected virtual void OnCalculateObjective(CalculateObjectiveEventArgs e)
{
if ( CalculateObjective != null )
{
CalculateObjective(this, e);
}
}