public NotGettingBetterTest()
{
_notGettingBetterDur = 300u;
_cooler = new Mock <Cooler>();
_cooler.SetupProperty(c => c.Temperature, 1000);
_stop = new NotGettingBetter <Solution>(_cooler.Object, OptimizationType.Maximization, 200000, _notGettingBetterDur);
_mockedSolution = new Mock <Solution>();
_mockedSolution.SetupProperty(s => s.CalculatedValue, 0);
}
private void ShouldStop_IfValueIsNotBetter()
{
_stop = new NotGettingBetter <Solution>(_cooler.Object, OptimizationType.Maximization, 5000, _notGettingBetterDur);
var step = 0u;
while (!_stop.ShouldStop(_mockedSolution.Object))
{
step++;
}
Assert.Equal(_notGettingBetterDur + 1, step);
}
private void ShouldStop_Max_steps(uint maxSteps)
{
_stop = new NotGettingBetter <Solution>(_cooler.Object, OptimizationType.Maximization, maxSteps, 250000);
var step = 0u;
while (!_stop.ShouldStop(_mockedSolution.Object))
{
step++;
}
Assert.Equal(maxSteps, step);
}
private void ShouldNotStop_IfValueIsBetter(uint threshold)
{
_stop = new NotGettingBetter <Solution>(_cooler.Object, OptimizationType.Maximization, 20000, _notGettingBetterDur);
var step = 0u;
while (!_stop.ShouldStop(_mockedSolution.Object))
{
step++;
if (step == 10)
{
_mockedSolution.Object.CalculatedValue += threshold + 1;
}
}
Assert.NotEqual(_notGettingBetterDur + 1, step);
}
public static void KnapsackTest()
{
Console.WriteLine("============");
Console.WriteLine("SA Knapsack problem example");
Console.WriteLine("Knapsack instances are generated according to this paper:");
Console.WriteLine("http://www.dcs.gla.ac.uk/~pat/cpM/jchoco/knapsack/papers/hardInstances.pdf");
Console.WriteLine("============");
var logger = new Logger <SimulatedAnnealing <KnapsackSolution> >(new LoggerFactory());
var cooler = new QuadraticCooler(0.998, 800);
var mover = new KnapsackMover();
var instances = new KnapsackInstancesFactory(50, 5000, 1)
.GenDistribution(DistributionVariant.Strong, 3)
.GenDistribution(DistributionVariant.Uncorrelated, 3)
.Collect();
var stop = new NotGettingBetter <KnapsackSolution>(cooler, OptimizationType.Maximization, 500000, 300000);
Console.WriteLine("COMMON ELEMENTS");
Console.WriteLine($" Stop criteria: {stop}");
Console.WriteLine($" Cooler: {cooler}");
Console.WriteLine("INSTANCES");
for (int i = 0; i < instances.Count; i++)
{
var instance = instances[i];
Console.WriteLine($"Instance name: {instance.Name}");
var sa = new SimulatedAnnealing <KnapsackSolution>(cooler, mover, stop, logger);
var obj = new KnapsackObj(instance);
var constraint = new KnapsackConstraint(instance);
var objAggr = new WeightedObjectiveAggregator <KnapsackSolution>(new[] { obj }, new double[] { 1 });
var constraintAggr = new WeightedConstraintAggregator <KnapsackSolution>(new[] { constraint }, new double[] { 1 });
var criterion = new Criterion <KnapsackSolution>(OptimizationType.Maximization, objAggr, constraintAggr);
var solution = new KnapsackSolution(instance);
var bestSol = sa.Solve(solution, criterion);
Console.WriteLine(instance);
Console.WriteLine(bestSol);
Console.WriteLine("----");
}
}
