public IFitnessReport <Individual> GetFitness(Individual individual)
{
var validMoves = 0;
foreach (var item in individual.MoveList)
{
if (_grid.IsValidNode(item.End))
{
validMoves++;
}
else
{
break;
}
}
if (validMoves == 0)
{
return(IndividualFitness.ForDeadIndvidual(individual));
}
var lastValidMode = individual.MoveList[validMoves - 1];
var closestWinningNode = FindClosestWinningNode(lastValidMode.End);
if (closestWinningNode.Equals(default))
private static void ExtractNextGen(NodeGrid gridz, IList <Vector> moves, int gen)
{
var nextGenMoves = new List <Vector>();
foreach (var nextMove in moves)
{
var vectors = nextMove.GenerateAllNextMoves()
.Where(z => gridz.IsValidNode(z.End) && !z.HasRepeatedAncestor(new List <Coordinate>())).ToList();
nextGenMoves.AddRange(vectors);
}
nextGenMoves = nextGenMoves.ToList();
Console.SetCursorPosition(85, 0);
Console.WriteLine($"Move: {gen} [{nextGenMoves.Count}]");
nextGenMoves = nextGenMoves.OrderBy(a => Guid.NewGuid()).Take(500).ToList();
foreach (var nextGenMove in nextGenMoves)
{
Console.SetCursorPosition(nextGenMove.EndX, nextGenMove.EndY);
Console.BackgroundColor = ConsoleColor.DarkYellow;
Console.Write(" ");
}
// Console.ReadLine();
Parallel.ForEach(moves, nextMove =>
{
if (gridz.GetAt(nextMove.EndX, nextMove.EndY).TrackType == NodeType.End)
{
SuccessPaths.Add(nextMove);
var parent = nextMove.Parent;
do
{
Console.SetCursorPosition(parent.EndX, parent.EndY);
Console.BackgroundColor = ConsoleColor.Magenta;
Console.Write(" ");
Thread.Sleep(100);
parent = parent.Parent;
} while (parent != null);
}
});
ExtractNextGen(gridz, nextGenMoves, ++gen);
}
public static Fitness FindClosestWinner(this NodeGrid grid, IList <Move> movelist)
{
var distance = 0;
var final = movelist.Last().End;
var node = grid.GetAt(final);
if (node.IsWinner)
{
return(new Fitness
{
ClosestNode = node,
Distance = distance,
Movelist = movelist
});
}
distance++;
for (var i = distance; i < MAX_DISTANCE; i++)
{
var winner = GetNeighbours(final, i).FirstOrDefault(m => grid.IsValidNode(m) && grid.GetAt(m).IsWinner);
if (winner != null)
{
return(new Fitness
{
ClosestNode = grid.GetAt(winner),
Distance = i,
Movelist = movelist
});
}
}
return(new Fitness()
{
Movelist = movelist
});
}