public KAOSModel Generate()
{
if (_options.NbObstacles < _options.NbObstructions)
{
throw new ArgumentException("Cannot generate a model with more obstructions than obstacles.");
}
root = GenerateGoal();
var goalToRefine = new Stack <Tuple <Goal, int> > (new [] { new Tuple <Goal, int> (root, 0) });
var obstacleToRefine = new Stack <Tuple <Obstacle, int> > ();
var leafGoal = new HashSet <string> ();
var leafObstacles = new HashSet <string> ();
while (_model.Goals().Count() < _options.NbGoals)
{
var current = goalToRefine.Pop();
leafGoal.Remove(current.Item1.Identifier);
var r = GenerateGoalRefinement(current.Item1);
foreach (var sg in r.SubGoals())
{
goalToRefine.Push(new Tuple <Goal, int> (sg, current.Item2 + 1));
leafGoal.Add(sg.Identifier);
}
}
var nbleafGoals = _model.LeafGoals().Count();
var maxObstruction = Math.Min(nbleafGoals, _options.NbObstructions);
while (_model.ObstructedGoals().Count() < maxObstruction)
{
int randomIndex = _random.Next(0, nbleafGoals);
var current = _model.Goal(leafGoal.ElementAt(randomIndex));
leafGoal.Remove(current.Identifier);
nbleafGoals--;
var r = GenerateObstruction(current);
obstacleToRefine.Push(new Tuple <Obstacle, int> (r.Obstacle(), 0));
leafObstacles.Add(r.ObstacleIdentifier);
}
while (_model.Obstacles().Count() < _options.NbObstacles)
{
var current = obstacleToRefine.Pop();
leafObstacles.Remove(current.Item1.Identifier);
var nbRefinement = _random.Next(_options.MinObstacleORBranchingFactor,
_options.MaxObstacleORBranchingFactor);
for (int i = 0; i < nbRefinement; i++)
{
var r = GenerateObstacleRefinement(current.Item1);
foreach (var sg in r.SubObstacles())
{
obstacleToRefine.Push(new Tuple <Obstacle, int> (sg, current.Item2 + 1));
leafObstacles.Add(sg.Identifier);
}
}
}
foreach (var current in leafObstacles)
{
_model.satisfactionRateRepository.AddObstacleSatisfactionRate(current,
new DoubleSatisfactionRate(_random.NextDouble()));
}
return(_model);
}
