/// <summary>
/// Construct the object, weighted problems.
/// </summary>
/// <param name="optimizer">Optimize to be used.</param>
/// <param name="weightedProblems">Array of weighted problems to be optimized.</param>
/// <param name="numRuns">Number of optimization runs per problem.</param>
public MetaFitness(Optimizer optimizer, WeightedProblem[] weightedProblems, int numRuns)
: base()
{
Optimizer = optimizer;
NumRuns = numRuns;
ProblemIndex = new ProblemIndex(weightedProblems);
}
/// <summary>
/// Construct the ProblemIndex-object.
/// </summary>
/// <param name="weightedProblems">The problems to be indexed.</param>
public ProblemIndex(WeightedProblem[] weightedProblems)
: base()
{
Index = new List<ProblemFitness>(weightedProblems.Count());
double weightSum = weightedProblems.Sum(o => o.Weight);
foreach (WeightedProblem weightedProblem in weightedProblems)
{
Problem problem = weightedProblem.Problem;
double weight = weightedProblem.Weight;
double weightNormalized = weight / weightSum;
Debug.Assert(weight > 0);
Index.Add(new ProblemFitness(problem, weightNormalized));
}
}
/// <summary>
/// Construct the ProblemIndex-object.
/// </summary>
/// <param name="weightedProblems">The problems to be indexed.</param>
public ProblemIndex(WeightedProblem[] weightedProblems)
: base()
{
// Ensure array has elements.
Debug.Assert(weightedProblems.Length > 0);
Index = new List<ProblemFitness>(weightedProblems.Length);
double weightSum = weightedProblems.Sum(o => o.Weight);
foreach (WeightedProblem weightedProblem in weightedProblems)
{
Problem problem = weightedProblem.Problem;
double weight = weightedProblem.Weight;
double weightNormalized = weight / weightSum;
// Ensure weight is positive.
Debug.Assert(weight > 0);
Index.Add(new ProblemFitness(problem, weightNormalized));
}
}