/// <summary>
/// Construct the object, un-weighted problems.
/// </summary>
/// <param name="optimizer">Optimize to be used.</param>
/// <param name="problems">Array of problems to be optimized.</param>
/// <param name="numRuns">Number of optimization runs per problem.</param>
public MetaFitness(Optimizer optimizer, Problem[] problems, int numRuns)
: base()
{
Optimizer = optimizer;
NumRuns = numRuns;
ProblemIndex = new ProblemIndex(problems);
}
/// <summary>
/// Create the object.
/// </summary>
/// <param name="problem">Problem-object to be wrapped.</param>
/// <param name="capacity">Log capacity.</param>
public LogSolutions(Problem problem, int capacity)
: base(problem)
{
Capacity = capacity;
_log = new SortedList<double, Solution>(capacity);
}
/// <summary>
/// Create the object.
/// </summary>
/// <param name="problem">Problem-object to be wrapped.</param>
/// <param name="capacity">Log capacity.</param>
/// <param name="onlyFeasible">Only log feasible solutions.</param>
public LogSolutions(Problem problem, int capacity, bool onlyFeasible)
: base(problem)
{
Capacity = capacity;
OnlyFeasible = onlyFeasible;
Log = new List<Solution>(capacity);
}
/// <summary>
/// Construct the ProblemIndex-object.
/// </summary>
/// <param name="problems">The problems to be indexed.</param>
public ProblemIndex(Problem[] problems)
: base()
{
int numProblems = problems.Count();
double weight = 1.0 / numProblems;
Index = new List<ProblemFitness>(numProblems);
foreach (Problem problem in problems)
{
Index.Add(new ProblemFitness(problem, weight));
}
}
/// <summary>
/// Print parameters using names associated with an optimization problem.
/// </summary>
/// <param name="problem">Optimization problem with associated parameter-names.</param>
/// <param name="parameters">Parameters to be printed.</param>
public static void PrintParameters(Problem problem, double[] parameters)
{
int NumParameters = problem.Dimensionality;
if (NumParameters > 0)
{
Debug.Assert(parameters.Length == NumParameters);
for (int i = 0; i < NumParameters; i++)
{
string parameterName = problem.ParameterName[i];
double p = parameters[i];
string pStr = p.ToString("0.####", _cultureInfo);
Console.WriteLine("\t{0} = {1}", parameterName, pStr);
}
}
else
{
Console.WriteLine("\tN/A");
}
}
/// <summary>
/// Create new object.
/// </summary>
/// <param name="problems">Problems to be optimized.</param>
/// <param name="repeat">Repeat-object.</param>
public Multi(Problem[] problems, Repeat repeat)
: base()
{
Repeat = repeat;
ProblemIndex = new ProblemIndex(problems);
}
/// <summary>
/// Constructs a new object.
/// </summary>
/// <param name="problem">The problem being wrapped.</param>
/// <param name="formatAsArray">Format output string as C# array.</param>
public FitnessPrint(Problem problem, bool formatAsArray)
: base(problem)
{
FormatAsArray = formatAsArray;
}
/// <summary>
/// Constructs a new object.
/// </summary>
/// <param name="problem">The problem being wrapped.</param>
public FitnessPrint(Problem problem)
: this(problem, false)
{
}
/// <summary>
/// Optimize the given problem and output result-statistics.
/// </summary>
static void Optimize(Problem problem)
{
// Create a fitness trace for tracing the progress of optimization, mean.
int NumMeanIntervals = 3000;
FitnessTrace fitnessTraceMean = new FitnessTraceMean(NumIterations, NumMeanIntervals);
// Create a fitness trace for tracing the progress of optimization, quartiles.
// Note that fitnessTraceMean is chained to this object by passing it to the
// constructor, this causes both fitness traces to be used.
int NumQuartileIntervals = 10;
FitnessTrace fitnessTraceQuartiles = new FitnessTraceQuartiles(NumRuns, NumIterations, NumQuartileIntervals, fitnessTraceMean);
// Assign the problem etc. to the optimizer.
Optimizer.Problem = problem;
Optimizer.RunCondition = RunCondition;
Optimizer.FitnessTrace = fitnessTraceQuartiles;
// Wrap the optimizer in a logger of result-statistics.
Statistics Statistics = new Statistics(Optimizer);
// Wrap it again in a repeater.
Repeat Repeat = new RepeatSum(Statistics, NumRuns);
// Perform the optimization runs.
double fitness = Repeat.Fitness(Parameters);
// Compute result-statistics.
Statistics.Compute();
// Output result-statistics.
Console.WriteLine("{0} & {1} & {2} & {3} & {4} & {5} & {6} & {7} \\\\",
problem.Name,
Tools.FormatNumber(Statistics.FitnessMean),
Tools.FormatNumber(Statistics.FitnessStdDev),
Tools.FormatNumber(Statistics.FitnessQuartiles.Min),
Tools.FormatNumber(Statistics.FitnessQuartiles.Q1),
Tools.FormatNumber(Statistics.FitnessQuartiles.Median),
Tools.FormatNumber(Statistics.FitnessQuartiles.Q3),
Tools.FormatNumber(Statistics.FitnessQuartiles.Max));
// Output fitness trace, mean.
string traceFilenameMean = Optimizer.Name + "-FitnessTraceMean-" + problem.Name + ".txt";
fitnessTraceMean.WriteToFile(traceFilenameMean);
// Output fitness trace, quartiles.
string traceFilenameQuartiles = Optimizer.Name + "-FitnessTraceQuartiles-" + problem.Name + ".txt";
fitnessTraceQuartiles.WriteToFile(traceFilenameQuartiles);
}
/// <summary>
/// Constructs a new object.
/// </summary>
/// <param name="problem">The problem being wrapped.</param>
public FitnessPrint(Problem problem)
: base(problem)
{
}
public ProblemFitness(Problem problem, double weight)
{
Problem = problem;
Weight = weight;
Fitness = problem.MaxFitness;
}
/// <summary>
/// Constructs a new object.
/// </summary>
/// <param name="problem">The problem being wrapped.</param>
/// <param name="formatAsArray">Format output string as C# array.</param>
public FitnessPrint(Problem problem, bool formatAsArray)
: base(problem)
{
FormatAsArray = formatAsArray;
}
/// <summary>
/// Constructs a new object.
/// </summary>
/// <param name="problem">The problem being wrapped.</param>
public FitnessPrint(Problem problem)
: this(problem, false)
{
}
