private static void PrintConfig(GAResult result)
{
for (var i = 0; i < result.Result.Genom.Length; i++)
{
Console.Write("[x{0} {1}] ", i + 1, result.Result.Genom[i]);
}
Console.WriteLine();
}
static void Run3SATSolver(string filePath, GeneticOptions options, bool verbose = false)
{
var instance = SATInstanceLoader.LoadInstance(filePath);
var problem = new ThreeSATProblem(instance.Formula);
var stopwatch = new Stopwatch();
GAResult result = null;
double relErr = 0;
double time = 0;
for (int i = 0; i < MeasurementCount; i++)
{
stopwatch.Reset();
stopwatch.Start();
result = GeneticAlgorithm.Solve(problem, options, verbose);
stopwatch.Stop();
time += stopwatch.Elapsed.TotalMilliseconds;
relErr = CalculateRelativeError(instance.OptimalWeight, result.Result.Fitness);
}
if (verbose)
{
Console.WriteLine();
PrintConfig(result);
}
var relativeErr = CalculateRelativeError(instance.OptimalWeight, result.Result.Fitness) * 100;
if (verbose)
{
Console.WriteLine("Optimal result is '{0}' and approx. '{1}'. Relative error is '{2}%'.", instance.OptimalWeight, result.Result.Fitness, relativeErr);
}
if (verbose)
{
Console.WriteLine();
}
time /= MeasurementCount;
Console.WriteLine(FormatCsvResult(instance.InstanceId, time, relErr));
}