static void Main(string[] args)
{
// Create and initialize PRNG.
Globals.Random = new RandomOps.MersenneTwister();
// Set the max number of optimization iterations to perform.
Problem.MaxIterations = NumIterations;
// Wrap the optimizer in a logger of result-statistics.
bool StatisticsOnlyFeasible = true;
Statistics Statistics = new Statistics(Optimizer, StatisticsOnlyFeasible);
// Wrap it again in a repeater.
Repeat repeat = new RepeatSum(Statistics, NumRuns);
// Output optimization settings.
Console.WriteLine("Problem: {0}", Problem.Name);
Console.WriteLine("Optimizer: {0}", Optimizer.Name);
Console.WriteLine("Using following parameters:");
Tools.PrintParameters(Optimizer, Optimizer.DefaultParameters);
Console.WriteLine("Number of runs: {0}", NumRuns);
Console.WriteLine("Dimensionality: {0}", Dim);
Console.WriteLine("Dim-factor: {0}", DimFactor);
Console.WriteLine();
// Start-time.
DateTime t1 = DateTime.Now;
// Perform optimizations.
double fitness = repeat.Fitness();
// End-time.
DateTime t2 = DateTime.Now;
// Compute result-statistics.
Statistics.Compute();
// Output best results, as well as result-statistics.
Console.WriteLine("Best parameters found:");
Tools.PrintParameters(Problem, Statistics.BestParameters);
Console.WriteLine("With fitness: {0}", Tools.FormatNumber(Statistics.FitnessMin));
Console.WriteLine("Time usage: {0}", t2 - t1);
Console.WriteLine("Mean number of iterations: {0}", Statistics.IterationsMean);
Console.WriteLine();
Console.WriteLine("x\ty\tComputedY");
Console.WriteLine("--------------------");
// Output fitted curve.
for (int i = 0; i < X.Length; i++)
{
double x = X[i];
double y = Y[i];
double computedY = Problem.ComputeY(Statistics.BestParameters, x);
Console.WriteLine("{0}\t{1}\t{2}",
Tools.FormatNumber(x),
Tools.FormatNumber(y),
Tools.FormatNumber(computedY));
}
}
