public override TSolution Solve(NullParameters parameters, TSolution initial, List <Func <TSolution, Exploration, Random, TSolution> > neighborhoods, Exploration expCondition, Func <TSolution, double> cost, Random rdObj)
{
ResetProgress();
TSolution current = (TSolution)initial.Clone();
double currentCost = cost(current);
int iteration = 0;
OnIteration(new IterationEventArgs <TSolution>(current));
timer.Start();
while (true)
{
TSolution neighborhoodSolution = SelectRandomNeigborStrategy(neighborhoods, rdObj)(current, expCondition, rdObj);
double neighborhoodSolutionCost = cost(neighborhoodSolution);
if (neighborhoodSolutionCost < currentCost)
{
currentCost = neighborhoodSolutionCost;
current = (TSolution)neighborhoodSolution.Clone();
iteration++;
OnIteration(new IterationEventArgs <TSolution>(current, iteration, timer.Elapsed.TotalSeconds));
}
else
{
break;
}
}
timer.Stop();
return(current);
}
public override TSolution Solve(SimulatedAnnealingParameters parameters, TSolution initial, List <Func <TSolution, Exploration, Random, TSolution> > neighborhoods, Exploration expCondition, Func <TSolution, double> cost, Random rdObj)
{
ResetProgress();
TSolution current = (TSolution)initial.Clone();
TSolution best = (TSolution)initial.Clone();
TSolution neighbor = default(TSolution);
double bestCost = cost(best);
double currentCost = bestCost;
double neighborCost;
int repetitions = parameters.Repetitions;
double temperature = parameters.InitialTemperature;
int iteration = 0;
OnIteration(new IterationEventArgs <TSolution>(best));
List <double> iterationCost = new List <double>();
timer.Start();
while (temperature > parameters.FinalTemperature)
{
iterationCost.Clear();
iterationCost.Add(currentCost);
for (int i = 0; i < repetitions; i++)
{
neighbor = SelectRandomNeigborStrategy(neighborhoods, rdObj)(current, expCondition, rdObj);
neighborCost = cost(neighbor);
iterationCost.Add(neighborCost);
if (neighborCost < bestCost)
{
best = (TSolution)neighbor.Clone();
bestCost = neighborCost;
}
if (neighborCost < currentCost || rdObj.NextDouble() < AceptanceProbability(currentCost, neighborCost, temperature))
{
current = (TSolution)neighbor.Clone();
currentCost = neighborCost;
}
iteration++;
OnIteration(new IterationEventArgs <TSolution>(best, current, iteration, timer.Elapsed.TotalSeconds));
}
temperature = parameters.CoolingProcedure(new double[] { temperature, parameters.CoolingRate, BasicStatisticsTool.StandardDeviation(iterationCost) });
repetitions = (int)Math.Ceiling(repetitions * parameters.RepetitionFactor);
}
timer.Stop();
return(best);
}
