// new Thread for Start GA
private void GA_Start(object Parallel_Mutex_On)
{
if ((Boolean)Parallel_Mutex_On) // Parallel Process Requirement's
{
#region GA for Mutex On
while (true) //------------------------------------------------------------------------
{
// user has stopped execution?
if (_state == AlgorithmState.AS_CRITERIA_STOPPED || _state == AlgorithmState.AS_USER_STOPPED)
{
break;
}
else if (_state == AlgorithmState.AS_SUSPENDED)
{
if (Thread.CurrentThread.IsAlive)
{
Thread.CurrentThread.Suspend();
}
}
// Save a Elite Chromosome for protection in Mutation and etc.
Schedule best = GetBestChromosome();
// algorithm has reached criteria?
if (best.GetFitness() >= 1)
{
_state = AlgorithmState.AS_CRITERIA_STOPPED;
break;
}
// produce offspring
Schedule[] offspring;
offspring = new Schedule[_replaceByGeneration];
Random rand = new Random();
for (int j = 0; j < _replaceByGeneration; j++)
{
Schedule p1;
Schedule p2;
// selects parent randomly
lock (Locker1)
{
p1 = _chromosomes[(rand.Next() % _chromosomes.Length)].MakeCopy(false);
}
lock (Locker1)
{
p2 = _chromosomes[(rand.Next() % _chromosomes.Length)].MakeCopy(false);
}
offspring[j] = p1.Crossover(p2);
lock (Locker1)
{
offspring[j].Mutation();
offspring[j].CalculateFitness();
}
}
// replace chromosomes of current operation with offspring
for (int j = 0; j < _replaceByGeneration; j++)
{
int ci;
do
{
// select chromosome for replacement randomly
ci = rand.Next() % _chromosomes.Length;
// protect best chromosomes from replacement
} while (IsInBest(ci));
lock (Locker1)
{
// replace chromosomes
_chromosomes[ci] = null;
_chromosomes[ci] = offspring[j];
}
// try to add new chromosomes in best chromosome group
AddToBest_Parallel(ci);
}
// algorithm has found new best chromosome
if (best != GetBestChromosome())
// notify observer
{
lock (Locker1)
{
_observer.NewBestChromosome(GetBestChromosome(), ResultControls.ResultForm._setting.Display_RealTime);
}
}
_currentGeneration++;
}
// The GA job's is Complete!
if (_observer != null)
{
lock (Locker0)
{
// notify observer that execution of algorithm has changed it state
_observer.EvolutionStateChanged(_state);
}
}
Thread.CurrentThread.Abort();
#endregion
}
else
{
#region GA for Mutex Off
while (true) //------------------------------------------------------------------------
{
// user has stopped execution?
if (_state == AlgorithmState.AS_CRITERIA_STOPPED || _state == AlgorithmState.AS_USER_STOPPED)
{
break;
}
else if (_state == AlgorithmState.AS_SUSPENDED)
{
if (Thread.CurrentThread.IsAlive)
{
Thread.CurrentThread.Suspend();
}
}
// Save a Elite Chromosome for protection in Mutation and etc.
Schedule best = GetBestChromosome();
// algorithm has reached criteria?
if (best.GetFitness() >= 1)
{
_state = AlgorithmState.AS_CRITERIA_STOPPED;
break;
}
// produce offspring
Schedule[] offspring;
offspring = new Schedule[_replaceByGeneration];
Random rand = new Random();
for (int j = 0; j < _replaceByGeneration; j++)
{
// selects parent randomly
Schedule p1 = _chromosomes[(rand.Next() % _chromosomes.Length)];
Schedule p2 = _chromosomes[(rand.Next() % _chromosomes.Length)];
offspring[j] = p1.Crossover(p2);
offspring[j].Mutation();
offspring[j].CalculateFitness();
}
// replace chromosomes of current operation with offspring
for (int j = 0; j < _replaceByGeneration; j++)
{
int ci;
do
{
// select chromosome for replacement randomly
ci = rand.Next() % _chromosomes.Length;
// protect best chromosomes from replacement
} while (IsInBest(ci));
// replace chromosomes
_chromosomes[ci] = null;
_chromosomes[ci] = offspring[j];
// try to add new chromosomes in best chromosome group
AddToBest_Sequence(ci);
}
// algorithm has found new best chromosome
if (best != GetBestChromosome())
// notify observer
{
_observer.NewBestChromosome(GetBestChromosome(), ResultControls.ResultForm._setting.Display_RealTime);
}
_currentGeneration++;
}
// The GA job's is Complete!
if (_observer != null)
{
// notify observer that execution of algorithm has changed it state
_observer.EvolutionStateChanged(_state);
}
Thread.CurrentThread.Abort();
#endregion
}
}
public void SetSchedule(Schedule schedule, bool showGraphical)
{
_schedule = schedule.MakeCopy(false);
if (Monitor.TryEnter(Locker, 500))
{
//_resultWindow.Controls["lblFitness"].Text = schedule.GetFitness().ToString();
SetText("Fitness: " + schedule.GetFitness().ToString());
Monitor.Exit(Locker);
}
else return;
if (showGraphical)
{
//
// ReSet to New DataGridView
//
foreach (KeyValuePair<int, DataGridView> it in dgvList)
{
ClearDataGridView(it.Value);
}
//
int numberOfRooms = Configuration.GetInstance.GetNumberOfRooms();
int daySize = schedule.day_Hours * numberOfRooms;
Random rand = new Random();
foreach (KeyValuePair<CourseClass, int> it in schedule.GetClasses().ToList())
{
// coordinate of time-space slot
int pos = it.Value; // int pos of _slot array
int day = pos / daySize;
int time = pos % daySize; // this is not time now!
int room = time / schedule.day_Hours;
time = time % schedule.day_Hours; // this is a time now!
int dur = it.Key.GetDuration;
CourseClass cc = it.Key;
Room r = Configuration.GetInstance.GetRoomById(room);
string groups_Name = "";
foreach (var gs in cc.GetGroups)
{
groups_Name += gs.GetName + "\r\n";
}
groups_Name = groups_Name.Trim();
((DataGridViewTextBoxCellEx)dgvList[r.GetId][day + 1, time]).RowSpan = cc.GetDuration;
dgvList[r.GetId][day + 1, time].Style.BackColor =
Color.FromArgb(rand.Next(70, 250), rand.Next(70, 250), rand.Next(70, 250));
dgvList[r.GetId][day + 1, time].Value = string.Format(CultureInfo.CurrentCulture,
"{0}\r\n{1}\r\n{2}\r\n{3}", cc.GetCourse.GetName, cc.GetProfessor.GetName, groups_Name, cc.Lab);
//(cc.GetCourse.GetName + Environment.NewLine +
// cc.GetProfessor.GetName + Environment.NewLine +
// groups_Name + Environment.NewLine + cc.Lab);
}
}
}
