public void Evaluate(Individual[] pop)
{
CacheCards();
for (int i = 0; i < pop.Length; i++)
{
pop[i].Fitness = 0;
}
switch (EvalStrategy)
{
case EvaluationStrategy.RoundRobin:
for (int i = 0; i < pop.Length; i++)
{
for (int j = 0; j < pop.Length; j++)
{
CompeteIndividuals(pop, i, j);
}
}
break;
case EvaluationStrategy.UCB1:
_ucbScores = new UcbData[pop.Length];
for (int i = 0; i < _ucbScores.Length; i++)
{
_ucbScores[i] = new UcbData();
}
for (int i = 0; i < RandomSamplingFaceoffs; i++) //fair comparison to round robin
{
CacheCards(); // TEMP
// sort by score and select top 2 individuals
var best = pop.Select((ind, n) => n)
.Shuffle(random)
.OrderByDescending(n => _ucbScores[n].Trials < 100 ? double.MaxValue : _ucbScores[n].Score(0.5, i))
.Take(2);
int p1 = best.ElementAt(0);
int p2 = best.ElementAt(1);
//Console.WriteLine("({0}, {1})\t{0}=({2},{3})\t{1}=({4},{5})", p1, p2, _ucbScores[p1].Trials, _ucbScores[p1].Score(0.5, i), _ucbScores[p2].Trials, _ucbScores[p2].Score(0.5, i));
CompeteIndividuals(pop, best.ElementAt(0), best.ElementAt(1));
}
for (int i = 0; i < pop.Length; i++)
{
pop[i].Fitness = _ucbScores[i].Score(0, RandomSamplingFaceoffs);
}
break;
default:
break;
}
}
public void Evaluate(Individual[] pop)
{
CacheCards();
for (int i = 0; i < pop.Length; i++)
pop[i].Fitness = 0;
switch (EvalStrategy)
{
case EvaluationStrategy.RoundRobin:
for (int i = 0; i < pop.Length; i++)
for (int j = 0; j < pop.Length; j++)
CompeteIndividuals(pop, i, j);
break;
case EvaluationStrategy.UCB1:
_ucbScores = new UcbData[pop.Length];
for (int i = 0; i < _ucbScores.Length; i++)
_ucbScores[i] = new UcbData();
for (int i = 0; i < RandomSamplingFaceoffs; i++)//fair comparison to round robin
{
CacheCards();// TEMP
// sort by score and select top 2 individuals
var best = pop.Select((ind, n) => n)
.Shuffle(random)
.OrderByDescending(n => _ucbScores[n].Trials < 100 ? double.MaxValue : _ucbScores[n].Score(0.5, i))
.Take(2);
int p1 = best.ElementAt(0);
int p2 = best.ElementAt(1);
//Console.WriteLine("({0}, {1})\t{0}=({2},{3})\t{1}=({4},{5})", p1, p2, _ucbScores[p1].Trials, _ucbScores[p1].Score(0.5, i), _ucbScores[p2].Trials, _ucbScores[p2].Score(0.5, i));
CompeteIndividuals(pop, best.ElementAt(0), best.ElementAt(1));
}
for (int i = 0; i < pop.Length; i++)
pop[i].Fitness = _ucbScores[i].Score(0, RandomSamplingFaceoffs);
break;
default:
break;
}
}
