public ScheduleOld CrossOver(ScheduleOld parent2)
{
if (_random.Next(100) > _crossoverProbability)
return new ScheduleOld(this, false);
ScheduleOld s = new ScheduleOld(this, true);
int numberOfClasses = _classes.Count;
bool[] cp = new bool[numberOfClasses];
for (int i = _numberOfCrossoverPoints; i > 0; i--)
{
while (true)
{
int p = _random.Next(numberOfClasses);
if (!cp[p])
{
cp[p] = true;
break;
}
}
}
var classes1 = _classes.GetEnumerator();
var classes2 = parent2._classes.GetEnumerator();
bool first = _random.Next(0,2)==0;
for (int i = 0; i < numberOfClasses; i++)
{
classes1.MoveNext();
classes2.MoveNext();
if (first)
{
s._classes.Add(classes1.Current.Key, classes1.Current.Value);
for (int j = classes1.Current.Key.Length - 1; j >= 0; j--)
{
s._timeslots[classes1.Current.Value + j].Add(classes1.Current.Key);
}
}
else
{
s._classes.Add(classes2.Current.Key, classes2.Current.Value);
for (int j = classes2.Current.Key.Length - 1; j >= 0; j--)
{
s._timeslots[classes2.Current.Value + j].Add(classes2.Current.Key);
}
}
if (cp[i]) first = !first;
}
s.CalculateFitness();
return s;
}
public ScheduleOld CreateNewFromPrototype()
{
int size = _timeslots.Length;
ScheduleOld newChromosome = new ScheduleOld(this, true);
List<CourseClass> classes = Configuration.GetInstance().CourseClasses;
int roomCount = Configuration.GetInstance().Rooms.Count;
foreach (CourseClass c in classes)
{
int duration = c.Length;
int day = _random.Next(Constants.DAYS);
int room = c.RequiresLab ? Configuration.GetInstance().GetLabRoom().ID : Configuration.GetInstance().GetNonLabRoom().ID;
int time = _random.Next(Constants.HOURS_PER_DAY + 1 - duration);
int pos = day * roomCount * Constants.HOURS_PER_DAY + room * Constants.HOURS_PER_DAY + time;
for(int i = duration-1;i>=0;i--)
{
newChromosome._timeslots[pos+i].Add(c);
}
newChromosome._classes.Add(c, pos);
}
newChromosome.CalculateFitness();
return newChromosome;
}
