public BinPackingGenetics(int problemNum, MutationOperator mutationOperator, CrossoverMethod method, SelectionMethod selectionMethod) : base(method, selectionMethod)
{
_mutationOperator = mutationOperator;
CrosMethod = method;
string path = "";
_volumes = new List <int>();
switch (problemNum)
{
case 1: path = "Falkenauer_u120_00.txt"; break;
case 2: path = "Falkenauer_u250_00.txt"; break;
case 3: path = "Falkenauer_u500_00.txt"; break;
case 4: path = "Falkenauer_u1000_00.txt"; break;
}
string[] inputArr = System.IO.File.ReadAllLines(path);
var lines = inputArr.ToList();
lines.Remove(lines.First()); // first line is n. no need for it in a list
_containerCapacity = Int32.Parse(lines.First());
lines.Remove(lines.First()); //
foreach (var line in lines)
{
var volume = Int32.Parse(line);
_volumes.Add(volume);
}
_lowerBound = (int)Math.Ceiling((decimal)(_volumes.Sum() / _containerCapacity));
MaxFitness = (uint)(_volumes.Count - _lowerBound);
bpa = new BinPackingAlgorithm(_volumes, _containerCapacity);
_resultBins = new ObservableCollection <List <int> >();
}
public BinPackingGenetics(List <int> volumes, int containerCapacity, MutationOperator mutationOperator, CrossoverMethod method, SelectionMethod selectionMethod) : base(method, selectionMethod)
{
_mutationOperator = mutationOperator;
_volumes = new List <int>(volumes);
_containerCapacity = containerCapacity;
_lowerBound = (int)Math.Ceiling((decimal)(volumes.Sum() / _containerCapacity));
bpa = new BinPackingAlgorithm(_volumes, _containerCapacity);
_resultBins = new ObservableCollection <List <int> >();
MaxFitness = (uint)(volumes.Count - _lowerBound);
Alpha = (int)MaxFitness / 2;
}
