// Initializes genetic algorithm
public Algorithm(int numberOfChromosomes, int replaceByGeneration, int trackBest,
Schedule prototype, Schedule.ScheduleObserver observer)
{
NumberOfChromosomes = numberOfChromosomes;
TrackBest = trackBest;
ReplaceByGeneration = replaceByGeneration;
_currentBestSize = 0;
_prototype = prototype;
_observer = observer;
_currentGeneration = 0;
_state = AlgorithmState.AS_USER_STOPPED;
// reserve space for population
_chromosomes = new Schedule[NumberOfChromosomes];
_bestFlags = new bool[NumberOfChromosomes];
// reserve space for best chromosome group
_bestChromosomes = new int[TrackBest];
// clear population
for (int i = _chromosomes.Length - 1; i >= 0; --i)
{
_chromosomes[i] = null;
_bestFlags[i] = false;
}
_instance = this;
#region Find number of Active CPU or CPU core's for this Programs
long Affinity_Dec = System.Diagnostics.Process.GetCurrentProcess().ProcessorAffinity.ToInt64();
string Affinity_Bin = Convert.ToString(Affinity_Dec, 2); // toBase 2
foreach (char anyOne in Affinity_Bin.ToCharArray())
{
if (anyOne == '1')
{
numCore++;
}
}
#endregion
}
// Initializes genetic algorithm
public Algorithm(int numberOfChromosomes, int replaceByGeneration, int trackBest,
Schedule prototype, Schedule.ScheduleObserver observer)
{
NumberOfChromosomes = numberOfChromosomes;
TrackBest = trackBest;
ReplaceByGeneration = replaceByGeneration;
_currentBestSize = 0;
_prototype = prototype;
_observer = observer;
_currentGeneration = 0;
_state = AlgorithmState.AS_USER_STOPPED;
// reserve space for population
_chromosomes = new Schedule[NumberOfChromosomes];
_bestFlags = new bool[NumberOfChromosomes];
// reserve space for best chromosome group
_bestChromosomes = new int[TrackBest];
// clear population
for (int i = _chromosomes.Length - 1; i >= 0; --i)
{
_chromosomes[i] = null;
_bestFlags[i] = false;
}
_instance = this;
#region Find number of Active CPU or CPU core's for this Programs
long Affinity_Dec = System.Diagnostics.Process.GetCurrentProcess().ProcessorAffinity.ToInt64();
string Affinity_Bin = Convert.ToString(Affinity_Dec, 2); // toBase 2
foreach (char anyOne in Affinity_Bin.ToCharArray())
if (anyOne == '1') numCore++;
#endregion
}
private void ResultForm_Load(object sender, EventArgs e)
{
Configuration.GetInstance.ParseFile(new LINQDataContext());
btnPause.Enabled = false;
btnStop.Enabled = false;
if (Configuration.GetInstance.GetNumberOfRooms() > 0)
{
create_GridView = new CreateDataGridViews(Configuration.GetInstance.Rooms, this);
Schedule prototype = new Schedule(5, 5, 90, 10);
Schedule.ScheduleObserver sso = new Schedule.ScheduleObserver();
sso.SetWindow(create_GridView);
AA = new MakeClassSchedule.Algorithm.Algorithm(1000, 180, 50, prototype, sso);
state = ThreadState.Unstarted;
timerWorkingSet.Start();
}
else
{
MessageBox.Show("Number of rooms is less than the limit!", "Number of Rooms Error",
MessageBoxButtons.OK, MessageBoxIcon.Error);
timerWorkingSet.Stop();
AA = null;
Dispose();
return;
}
if (Configuration.GetInstance.GetNumberOfCourseClasses() <= 0)
{
btnStart.Enabled = false;
}
}