public static Result CreateRandomInstance(SolverInstance instance)
{
var newX = new int[instance.MCount, instance.NCount + 1, instance.SCount + 1];
var newY = new float[instance.MCount, instance.NCount + 1, instance.SCount + 1];
var freeSpaceOnServersLookup = new Dictionary <int, uint>();
foreach (var s in instance.S)
{
freeSpaceOnServersLookup.Add(s, instance.B_s[s]);
}
// For each object random server to upload on
// only if the server has capacity left
foreach (var n in instance.N)
{
while (true)
{
var randomServer = Random.Next(1, instance.SCount + 1);
if (freeSpaceOnServersLookup[randomServer] >= instance.b_n[n])
{
freeSpaceOnServersLookup[randomServer] -= instance.b_n[n];
foreach (var m in instance.M)
{
var minY = instance.y_mn_min[m, n];
var maxY = instance.y_mn_max[m, n];
newX[m, n, randomServer] = 1;
newY[m, n, randomServer] = GetRandomNumber(minY, maxY);
}
break;
}
}
}
var potentialResult = new Result(instance, newX, newY);
potentialResult.CalculateFitness();
return(potentialResult);
}
public Population(int size, SolverInstance instance)
{
Size = size;
Instance = instance;
Results = new Result[size];
}
public CanSolver(SolverInstance instance)
{
Instance = instance;
}
public Result(SolverInstance instance, int[,,] x, float[,,] y)
{
Instance = instance;
X = x;
Y = y;
}
