/// <summary>
/// Prepares for the next scheduling iteration. This is invoked
/// at the end of a scheduling iteration. It must return false
/// if the scheduling strategy should stop exploring.
/// </summary>
/// <returns>True to start the next iteration</returns>
public override bool PrepareForNextIteration()
{
ScheduleLength = Math.Max(ScheduleLength, ScheduledSteps);
ScheduledSteps = 0;
RemainingDelays.Clear();
for (int idx = 0; idx < MaxDelays; idx++)
{
RemainingDelays.Add(RandomNumberGenerator.Next(ScheduleLength));
}
RemainingDelays.Sort();
CurrentIterationDelays.Clear();
CurrentIterationDelays.AddRange(RemainingDelays);
return(true);
}
/// <summary>
/// Prepares for the next scheduling iteration. This is invoked
/// at the end of a scheduling iteration. It must return false
/// if the scheduling strategy should stop exploring.
/// </summary>
/// <returns>True to start the next iteration</returns>
public override bool PrepareForNextIteration()
{
ScheduleLength = Math.Max(ScheduleLength, ScheduledSteps);
ScheduledSteps = 0;
var bound = Math.Min(MaxScheduledSteps, ScheduleLength);
for (var idx = 0; idx < MaxDelays; idx++)
{
if (DelaysCache[idx] < bound)
{
DelaysCache[idx] = DelaysCache[idx] + 1;
break;
}
DelaysCache[idx] = 0;
}
RemainingDelays.Clear();
RemainingDelays.AddRange(DelaysCache);
RemainingDelays.Sort();
return(true);
}
