예제 #1
0
파일: Plain.cs 프로젝트: jbienias/Studies
 private string backtrackTSP(int key, PointsList pointsList, Dictionary <PointsList, double[]> C)
 {
     if (pointsList.Count == 0)
     {
         return("0");
     }
     else
     {
         var   mins = new List <double>();
         Point l    = new Point(Double.MinValue, Double.MinValue, Int32.MinValue);
         foreach (var k in pointsList.Points)
         {
             mins.Add(C[pointsList][k.Id] + DistanceMatrix[k.Id, key]);
         }
         var    min_cost = mins.Min();
         string res      = "";
         foreach (var k in pointsList.Points)
         {
             if (min_cost == C[pointsList][k.Id] + DistanceMatrix[k.Id, key])
             {
                 l = k;
                 var cropPoints = PointsList.Copy(pointsList);
                 cropPoints.Points.Remove(k);
                 res = backtrackTSP(k.Id, cropPoints, C);
                 break;
             }
         }
         return(l.Id + "-" + res);
     }
 }
예제 #2
0
파일: Plain.cs 프로젝트: jbienias/Studies
        private string optimalPathTSP(double optimalCost, PointsList pointsListWOFirst, Dictionary <PointsList, double[]> C)
        {
            string optimalPath = "0-";
            string res         = "";

            Point l = new Point(Double.MinValue, Double.MinValue, Int32.MinValue);

            foreach (var k in pointsListWOFirst.Points)
            {
                if (optimalCost == (C[pointsListWOFirst][k.Id] + DistanceMatrix[k.Id, 0]))
                {
                    l = k;
                    var cropPoints = PointsList.Copy(pointsListWOFirst);
                    cropPoints.Points.Remove(k);
                    res = backtrackTSP(k.Id, cropPoints, C);
                    break;
                }
            }
            optimalPath += l.Id + "-" + res;
            return(optimalPath);
        }
예제 #3
0
파일: Plain.cs 프로젝트: jbienias/Studies
        //https://en.wikipedia.org/wiki/Held%E2%80%93Karp_algorithm
        public double TSP(bool withPrint)
        {
            //tworze wszystkie mozliwe kombinacje punktow
            var combosTmp = Helper.Combinations(Points);

            //... i pakuje do klasy PointsList
            List <PointsList> combos = new List <PointsList>();

            foreach (var combo in combosTmp)
            {
                combos.Add(new PointsList(combo));
            }
            //sortuje po dlugosci kombinacji i indexach
            combos = combos.OrderBy(p => p).ToList();

            //tworze dictionary z pointLista i tablica odleglosci (double, +inf)
            var C = new Dictionary <PointsList, double[]>();

            foreach (var c in combos)
            {
                C[c] = Helper.CreateDoubleMaxValueArray(Points.Count);
            }

            //Zczytanie dystansow z macierzy dystansow do dictionary
            for (int i = 0; i < Points.Count; i++)
            {
                C[combos[i]][i] = DistanceMatrix[0, i];
            }

            for (int i = 2; i < Points.Count; i++)
            {
                var currentCombos = combos.FindAll(p => p.Count == i).ToList();

                foreach (var s in currentCombos)
                {
                    var currentMinList = new List <double>();
                    foreach (var k in s.Points)
                    {
                        foreach (var l in s.Points)
                        {
                            if (k.Id != l.Id)
                            {
                                var key = PointsList.Copy(s);
                                key.Points.Remove(k);
                                currentMinList.Add(C[key][l.Id] + DistanceMatrix[k.Id, l.Id]);
                            }
                        }
                        C[s][k.Id] = currentMinList.Min();
                    }
                }
            }

            var minList           = new List <double>();
            var pointsListWOFirst = new PointsList(new List <Point>(Points.GetRange(1, Points.Count - 1)));

            for (int i = 1; i < Points.Count; i++)
            {
                minList.Add(C[pointsListWOFirst][i] + DistanceMatrix[i, 0]);
            }

            var optimalCost = minList.Min();

            if (withPrint)
            {
                Console.WriteLine(optimalPathTSP(optimalCost, pointsListWOFirst, C));
            }

            return(optimalCost);
        }