//! Calculates a schedule from the defined problem
/*!
* \pram ScheduleProblemInterface defined problem with contactwindows
* This Function will calculate the solution to the problem defined in
* Schedule Problem Interface
*/
public void CalculateSchedule(ScheduleProblemInterface problem)
{
objective = problem.getObjectiveFunction();
result = problem.getContactWindows();
if (adaptiveMaxIterations)
{
maxNumberOfIteration = result.Count() * 4;
}
if (randomStart)
{
result.randomize();
fillContacts(result);
}
if (mainform != null)
{
mainform.setProgressBar(maxNumberOfIteration);
}
currentFitness = 0.0;
result.getAt(0).setSheduled();
while (!isComplete())
{
for (int i = 0; i < result.Count(); i++)
{
iterations++;
for (int j = 0; j < result.Count(); j++)
{
if (i != j && result.getAt(i).checkConflikt(result.getAt(j)))
{
if (result.getAt(i).getStationName() == result.getAt(j).getStationName() ||
result.getAt(i).getSatName() == result.getAt(j).getSatName())
{
//collision detected
result.getAt(i).unShedule();
result.getAt(j).setSheduled();
double newFitness = getFitness(result);
if (newFitness < currentFitness)
{
result.getAt(j).unShedule();
result.getAt(i).setSheduled();
}
else
{
currentFitness = newFitness;
break;
}
}
}
}
}
if (Properties.Settings.Default.global_MaxPerf == false)
{
System.Windows.Forms.Application.DoEvents();
}
if (mainform != null)
{
mainform.updateProgressBar(iterations);
}
currentFitness = getFitness(result);
fillContacts(result);
}
}
//! Starts the process of finding the best solution through genetor
/*!
* \param ScheduleProblemInterface definition of the problem to solve
*/
public void CalculateSchedule(ScheduleProblemInterface problem)
{
objective = problem.getObjectiveFunction();
set = problem.getContactWindows();
//Sort by time
set.sort(Structs.sortByField.TIME);
nrOfContacts = set.Count();
nrOfStation = set.getNumberOfStation();
nrOfSatellites = set.getNumberOfSatellites();
satelliteList = new List <string>(set.getSatelliteNames());
stationList = new List <string>(set.getStationNames());
fitness = new double[popSize];
bestSolution = new int[nrOfContacts];
if (runUnitlTime)
{
startrunTime = DateTime.Now;
double h = hours;
startrunTime = startrunTime.AddHours(h);
}
generation = 0;
//create 5-10 random schedules from the Data
population = new List <int[]>();
for (int i = 0; i < popSize; i++)
{
population.Add(new int[nrOfContacts]);
fitness[i] = Constants.maxInt;
}
//Randomize the starting Population
Random rnd = new Random();
for (int k = 0; k < popSize; k++)
{
for (int i = 0; i < nrOfContacts; i++)
{
int randStart = rnd.Next(0, 100);
if (randStart <= genCrea)
{
population[k][i] = 1;
}
}
}
//--
bool foundSolution = false;
while (!foundSolution)
{
generation++;
//Console.WriteLine("Generation: " + generation.ToString() );
//elliminate all collsions either by using random chance or
//by priority.
//check fitness of each one (survival rate)
for (int i = 0; i < popSize; i++)
{
surviveConflicts(population[i], rnd, conflictValue);
fitness[i] = checkFitness(population[i]);
}
if (Properties.Settings.Default.global_MaxPerf == false)
{
System.Windows.Forms.Application.DoEvents();
}
//take only the fittest
survivalOfFittest(fitness, population);
//Combine randomly and generate children
createChildren(population, fitness, rnd);
//Mutate (remove or add requests by slight change)
for (int i = 0; i < popSize; i++)
{
mutate(population[i], rnd);
}
//check if Solution has been found
foundSolution = isComplete();
if (generatePlotData > 0)
{
WriteLog();
}
if (Properties.Settings.Default.global_MaxPerf == false)
{
System.Windows.Forms.Application.DoEvents();
}
if (f != null)
{
f.incrementProgressBar();
}
}
if (solveConflict)
{
surviveConflicts(bestSolution, rnd, conflictValue);
}
//
//surviveConflicts(bestSolution, rnd);
setSchedule(bestSolution, set);
Console.WriteLine("Found Solution after " + generation.ToString() + " Generations");
result = set;
result.randomize();
fillGaps();
if (generatePlotData > 0)
{
plotWr.Close();
}
if (f != null)
{
f.resetProgressBar();
}
}
