[16006] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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[16011] | 23 | using System.Linq;
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[16006] | 24 | using System.Windows.Forms;
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[16011] | 25 | using HeuristicLab.Data;
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[16006] | 26 | using HeuristicLab.MainForm;
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| 27 | using HeuristicLab.Optimization.Views;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.PermutationProblems.Views {
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| 30 | [View("Permutation Flowshop Scheduling Problem View")]
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| 31 | [Content(typeof(PermutationFlowshopSchedulingProblem), true)]
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| 32 | public partial class PermutationFlowshopSchedulingProblemView : ProblemView {
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| 33 |
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| 34 | public new PermutationFlowshopSchedulingProblem Content
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| 35 | {
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| 36 | get { return (PermutationFlowshopSchedulingProblem)base.Content; }
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| 37 | set { base.Content = value; }
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| 38 | }
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| 39 |
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| 40 | public PermutationFlowshopSchedulingProblemView() {
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| 41 | InitializeComponent();
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| 42 | Controls.Remove(parameterCollectionView);
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| 43 | parameterCollectionView.Dock = DockStyle.Fill;
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| 44 | problemTabPage.Controls.Add(parameterCollectionView);
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| 45 | }
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| 46 |
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| 47 | protected override void OnContentChanged() {
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| 48 | base.OnContentChanged();
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| 49 | FillGanttChart();
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| 50 | }
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| 51 |
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| 52 | protected override void DeregisterContentEvents() {
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| 53 | Content.BestKnownSolutionChanged -= Content_PermutationChanged;
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| 54 | base.DeregisterContentEvents();
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| 55 | }
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| 56 | protected override void RegisterContentEvents() {
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| 57 | base.RegisterContentEvents();
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| 58 | Content.BestKnownSolutionChanged += new EventHandler(Content_PermutationChanged);
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| 59 | }
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| 60 |
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| 61 | private void Content_PermutationChanged(object sender, EventArgs e) {
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| 62 | if (InvokeRequired) {
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| 63 | Invoke(new EventHandler(Content_PermutationChanged), sender, e);
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| 64 | } else {
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| 65 | FillGanttChart();
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| 66 | }
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| 67 | }
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| 68 |
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| 69 | private void FillGanttChart() {
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| 70 | ganttChart.Reset();
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| 71 | if (Content != null) {
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| 72 | var matrix = Content.JobMatrix;
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| 73 | var perm = Content.BestKnownSolution;
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| 74 | if (matrix == null) { return; }
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| 75 |
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| 76 | if (perm == null) {
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| 77 | perm = new Encodings.PermutationEncoding.Permutation(Encodings.PermutationEncoding.PermutationTypes.Absolute, Enumerable.Range(0, matrix.Columns).ToArray());
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| 78 | }
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| 79 |
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| 80 | int[] permutation = perm.ToArray();
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| 81 |
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| 82 | if (!permutation.Contains(0)) { permutation = permutation.Select(v => v - 1).ToArray(); }
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| 83 | DoubleMatrix calculatedTime = new DoubleMatrix(matrix.Rows, matrix.Columns);
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| 84 |
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| 85 | for (var machineIdx = 0; machineIdx < matrix.Rows; machineIdx++) {
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| 86 | for (var jobIdx = 0; jobIdx < matrix.Columns; jobIdx++) {
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| 87 | double runtimeCur = matrix[machineIdx, permutation[jobIdx]];
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| 88 | double runtimePrev = 0;
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| 89 |
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| 90 | if (jobIdx == 0 && machineIdx == 0) { } else if (machineIdx == 0) { runtimePrev = calculatedTime[machineIdx, jobIdx - 1]; } else if (jobIdx == 0) { runtimePrev = calculatedTime[machineIdx - 1, jobIdx]; } else {
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| 91 | double runtimePrevMachine = calculatedTime[machineIdx - 1, jobIdx];
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| 92 | double runtimePrevJobOnThisMachine = calculatedTime[machineIdx, jobIdx - 1];
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| 93 | runtimePrev = runtimePrevMachine > runtimePrevJobOnThisMachine ? runtimePrevMachine : runtimePrevJobOnThisMachine;
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| 94 | }
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| 95 |
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| 96 | calculatedTime[machineIdx, jobIdx] = runtimeCur + runtimePrev;
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| 97 | ganttChart.AddData("Machine " + machineIdx, permutation[jobIdx], jobIdx, runtimePrev, calculatedTime[machineIdx, jobIdx], "");
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| 98 | }
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| 99 | }
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| 100 | }
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| 101 | }
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| 102 | }
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| 103 | }
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