Ejemplo n.º 1
0
        // For brute force we evaluate every possible combination of N Items (in ALL K Slots)

        // Possible Solutions = 2^N  (when including all possible values for K)
        // 1234 == 00,1,2,3,4,12,13,14,23,24,34,123,124,134,234
        // 24 / (24 *
        // N! / (K! * (N -K)!)

        // 123 == 321 == 132 == 321 ETC (order does not matter)
        // 1234 (N=4, K=2) 12,13,14,23,24,34,
        // 4! / (2! * (4-2)!) == 24 / ( 2 * 2) == 24/4 == 6

        private void HandleSolution(KSItem[] solution)
        {
            SolutionCount++;
            KnapsackSolution curSolution = new KnapsackSolution(TM);

            for (int s = 0; s < solution.Length; s++)
            {
                curSolution.TryAddItem(solution[s]);
            }

            if (OptimalSolution == null || curSolution.Result.Value > OptimalSolution.Result.Value)
            {
                OptimalSolution = curSolution;
            }
        }
Ejemplo n.º 2
0
        private void HandleSolution(KSItem[] items)
        {
            SolutionCount++;
            KnapsackSolution curSolution = new KnapsackSolution(TM);

            //in the permutation scenario the order the items are added to the knapsack are important (the constraints maybe violated)
            for (int s = 0; s < items.Length; s++)
            {
                curSolution.TryAddItem(items[s]);
            }

            if (OptimalSolution == null || curSolution.Result.Value > OptimalSolution.Result.Value)
            {
                OptimalSolution = curSolution;
            }

            return;
        }