/// <summary>
/// Compute the fitness by repeating a number of optimization runs
/// and sum the fitnesses achieved in the runs.
/// </summary>
/// <param name="parameters">Parameters to use for the Optimizer.</param>
/// <param name="fitnessLimit">Preemptive Fitness Limit</param>
/// <returns>Fitness value.</returns>
public override double Fitness(double[] parameters, double fitnessLimit)
{
// Initialize the fitnses sum.
double fitnessSum = 0;
// Perform a number of optimization runs.
for (int i = 0; i < NumRuns && fitnessSum < fitnessLimit; i++)
{
// Perform one optimization run.
Result result = Optimizer.Optimize(parameters, fitnessLimit - fitnessSum);
// Compute the normalized fitness.
double fitnessNormalized = result.Fitness - Optimizer.MinFitness;
Debug.Assert(fitnessNormalized >= 0);
// Accumulate the fitness sum.
fitnessSum += fitnessNormalized;
}
return(fitnessSum);
}
/// <summary>
/// Compute the fitness by repeating a number of optimization runs
/// and sum the fitnesses achieved in the runs.
/// </summary>
/// <param name="parameters">Parameters to use for the Optimizer.</param>
/// <param name="fitnessLimit">Preemptive Fitness Limit</param>
/// <returns>Fitness value.</returns>
public override double Fitness(double[] parameters, double fitnessLimit)
{
// Initialize the fitness sum.
double fitnessSum = 0;
// Perform a number of optimization runs.
for (int i = 0; i < NumRuns && fitnessSum < fitnessLimit; i++)
{
// Perform one optimization run.
Result result = Optimizer.Optimize(parameters, fitnessLimit - fitnessSum);
// Compute the normalized fitness.
double fitnessNormalized = result.Fitness - Optimizer.MinFitness;
// This is most likely where your debugger will stop if your problem minimum fitness
// is not accurate (most likely defaulting to 0).
Debug.Assert(fitnessNormalized >= 0);
// Accumulate the fitness sum.
fitnessSum += fitnessNormalized;
}
return(fitnessSum);
}
/// <summary>
/// Perform one optimization run and return the best found solution.
/// This just wraps around the Optimizer and stores the results for
/// later computation of statistics.
/// </summary>
/// <param name="parameters">Control parameters for the optimizer.</param>
/// <param name="fitnessLimit">Preemptive Fitness Limit</param>
public override Result Optimize(double[] parameters, double fitnessLimit)
{
// Call through to the Optimizer.
Result result = Optimizer.Optimize(parameters, fitnessLimit);
// Store optimization result for later use by the Compute() method,
// if feasibility is required then only store feasible results.
if (!OnlyFeasible || result.Feasible)
{
Results.Add(result);
}
if (result.Feasible)
{
// Increase count of feasible results.
CountFeasible++;
}
// Increase total count of results, regardless of feasibility.
Count++;
// Return the optimization result.
return(result);
}
