[13720] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2016 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 HeuristicLab.Analysis;
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| 23 | using HeuristicLab.Analysis.QualityAnalysis;
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[13750] | 24 | using HeuristicLab.Analysis.SelfOrganizingMaps;
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[13720] | 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.MainForm;
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| 29 | using HeuristicLab.Optimization;
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| 30 | using HeuristicLab.OptimizationExpertSystem.Common;
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[13743] | 31 | using HeuristicLab.Random;
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[13720] | 32 | using System;
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| 33 | using System.Collections.Generic;
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[13745] | 34 | using System.Drawing;
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[13720] | 35 | using System.Linq;
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| 36 | using System.Windows.Forms;
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| 37 | using System.Windows.Forms.DataVisualization.Charting;
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| 38 |
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| 39 | namespace HeuristicLab.OptimizationExpertSystem {
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| 40 | [View("Understanding Solutions")]
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[13722] | 41 | [Content(typeof(KnowledgeCenter), IsDefaultView = false)]
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| 42 | public partial class UnderstandingSolutionsView : KnowledgeCenterViewBase {
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[13720] | 43 | protected virtual bool SuppressEvents { get; set; }
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| 44 |
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| 45 | public UnderstandingSolutionsView() {
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| 46 | InitializeComponent();
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[13743] | 47 | solutionNetworkProjectionComboBox.SelectedIndex = 0;
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[13720] | 48 | }
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| 49 |
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| 50 | protected override void OnContentChanged() {
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| 51 | base.OnContentChanged();
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| 52 | UpdateSimilarityCalculators();
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| 53 | UpdateNamesComboboxes();
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| 54 | UpdateSolutionVisualization();
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| 55 | }
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[13787] | 56 |
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| 57 | #region Update Controls
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[13720] | 58 | private void UpdateSimilarityCalculators() {
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| 59 | var selected = (ISolutionSimilarityCalculator)(similarityComboBox.SelectedIndex >= 0 ? similarityComboBox.SelectedItem : null);
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| 60 | similarityComboBox.Items.Clear();
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| 61 |
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| 62 | if (Content == null || Content.Problem == null) return;
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| 63 |
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| 64 | foreach (var calc in Content.Problem.Operators.OfType<ISolutionSimilarityCalculator>()) {
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| 65 | similarityComboBox.Items.Add(calc);
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| 66 | if (selected != null && calc.ItemName == selected.ItemName) similarityComboBox.SelectedItem = calc;
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| 67 | }
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| 68 | if (selected == null && similarityComboBox.Items.Count > 0)
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| 69 | similarityComboBox.SelectedIndex = 0;
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| 70 | }
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| 71 |
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| 72 | private void UpdateNamesComboboxes() {
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| 73 | var selectedSolutionName = solutionNameComboBox.SelectedIndex >= 0 ? (string)solutionNameComboBox.SelectedItem : string.Empty;
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| 74 |
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| 75 | solutionNameComboBox.Items.Clear();
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| 76 | if (Content == null) return;
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| 77 | var solutionNames = Content.Problem.Solutions.Select(x => x.Solution).OfType<IScope>().SelectMany(x => x.Variables);
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| 78 |
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| 79 | foreach (var sn in solutionNames.GroupBy(x => x.Name).OrderBy(x => x.Key)) {
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| 80 | solutionNameComboBox.Items.Add(sn.Key);
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| 81 | // either it was previously selected, or the variable value is defined in the HeuristicLab.Encodings sub-namespace
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| 82 | if (sn.Key == selectedSolutionName || (string.IsNullOrEmpty(selectedSolutionName) && sn.All(x => x.Value != null && x.Value.GetType().FullName.StartsWith("HeuristicLab.Encodings."))))
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| 83 | solutionNameComboBox.SelectedItem = sn.Key;
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| 84 | }
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| 85 | }
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| 86 |
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| 87 | public void UpdateSolutionVisualization() {
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| 88 | if (InvokeRequired) { Invoke((Action)UpdateSolutionVisualization); return; }
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| 89 | var qualityName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 90 | UpdateSolutionQualityAnalysis(qualityName);
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| 91 | if (similarityComboBox.SelectedIndex >= 0) {
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| 92 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 93 | UpdateSolutionDiversityAnalysis(calculator);
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| 94 | UpdateSolutionFdcAnalysis(calculator, fdcBetweenBestCheckBox.Checked);
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| 95 | UpdateSolutionLengthScaleAnalysis(calculator);
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[13745] | 96 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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[13720] | 97 | } else {
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| 98 | solutionsDiversityViewHost.Content = null;
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| 99 | solutionsFdcViewHost.Content = null;
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| 100 | solutionsLengthScaleViewHost.Content = null;
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| 101 | solutionsNetworkChart.Series.First().Points.Clear();
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| 102 | }
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| 103 | }
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| 104 |
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| 105 | private void UpdateSolutionQualityAnalysis(string qualityName) {
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| 106 | var dt = solutionsQualityViewHost.Content as DataTable;
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| 107 | if (dt == null) {
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| 108 | dt = QualityDistributionAnalyzer.PrepareTable(qualityName);
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| 109 | dt.VisualProperties.Title = "Quality Distribution";
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| 110 | solutionsQualityViewHost.Content = dt;
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| 111 | }
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| 112 | QualityDistributionAnalyzer.UpdateTable(dt, GetSolutionScopes().Select(x => GetQuality(x, qualityName) ?? double.NaN).Where(x => !double.IsNaN(x)));
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| 113 | }
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| 114 |
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| 115 | private void UpdateSolutionDiversityAnalysis(ISolutionSimilarityCalculator calculator) {
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| 116 | try {
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| 117 | solutionsDiversityViewHost.Content = null;
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| 118 | var solutionScopes = GetSolutionScopes();
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| 119 | var similarities = new double[solutionScopes.Count, solutionScopes.Count];
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| 120 | for (var i = 0; i < solutionScopes.Count; i++) {
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| 121 | for (var j = 0; j < solutionScopes.Count; j++)
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| 122 | similarities[i, j] = calculator.CalculateSolutionSimilarity(solutionScopes[i], solutionScopes[j]);
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| 123 | }
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| 124 | var hm = new HeatMap(similarities, "Solution Similarities", 0.0, 1.0);
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| 125 | solutionsDiversityViewHost.Content = hm;
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| 126 | } catch { }
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| 127 | }
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| 128 |
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| 129 | private void UpdateSolutionFdcAnalysis(ISolutionSimilarityCalculator calculator, bool distanceToBest) {
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| 130 | try {
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| 131 | solutionsFdcViewHost.Content = null;
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[13722] | 132 | fdcSpearmanLabel.Text = "-";
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| 133 | fdcPearsonLabel.Text = "-";
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[13720] | 134 | var solutionScopes = GetSolutionScopes();
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| 135 | var points = new List<Point2D<double>>();
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| 136 | if (distanceToBest) {
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| 137 | var maximization = ((IValueParameter<BoolValue>)Content.Problem.MaximizationParameter).Value.Value;
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| 138 | var bestSolutions = (maximization ? solutionScopes.MaxItems(x => GetQuality(x, calculator.QualityVariableName) ?? double.NegativeInfinity)
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| 139 | : solutionScopes.MinItems(x => GetQuality(x, calculator.QualityVariableName) ?? double.PositiveInfinity)).ToList();
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| 140 | foreach (var solScope in solutionScopes.Except(bestSolutions)) {
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| 141 | var maxSimilarity = bestSolutions.Max(x => calculator.CalculateSolutionSimilarity(solScope, x));
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| 142 | var qDiff = (GetQuality(solScope, calculator.QualityVariableName) ?? double.NaN)
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| 143 | - (GetQuality(bestSolutions[0], calculator.QualityVariableName) ?? double.NaN);
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| 144 | points.Add(new Point2D<double>(Math.Abs(qDiff), 1.0 - maxSimilarity));
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| 145 | }
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| 146 | } else {
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| 147 | for (int i = 0; i < solutionScopes.Count; i++) {
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| 148 | for (int j = 0; j < solutionScopes.Count; j++) {
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| 149 | if (i == j) continue;
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| 150 | var qDiff = (GetQuality(solutionScopes[i], calculator.QualityVariableName) ?? double.NaN)
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| 151 | - (GetQuality(solutionScopes[j], calculator.QualityVariableName) ?? double.NaN);
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| 152 | if (double.IsNaN(qDiff)) continue;
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| 153 | points.Add(new Point2D<double>(Math.Abs(qDiff), 1.0 - calculator.CalculateSolutionSimilarity(solutionScopes[i], solutionScopes[j])));
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| 154 | }
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| 155 | }
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| 156 | }
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[13722] | 157 | var xs = points.Select(p => p.X).ToArray();
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| 158 | var ys = points.Select(p => p.Y).ToArray();
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| 159 | var scorr = alglib.spearmancorr2(xs, ys);
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| 160 | var pcorr = alglib.pearsoncorr2(xs, ys);
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| 161 | pcorr = pcorr * pcorr;
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| 162 | fdcSpearmanLabel.Text = scorr.ToString("F2");
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| 163 | fdcPearsonLabel.Text = pcorr.ToString("F2");
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| 164 |
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[13720] | 165 | var splot = new ScatterPlot("Fitness-Distance", "");
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| 166 | splot.VisualProperties.XAxisTitle = "Absolute Fitness Difference";
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[13722] | 167 | splot.VisualProperties.XAxisMinimumAuto = false;
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[13720] | 168 | splot.VisualProperties.XAxisMinimumFixedValue = 0.0;
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| 169 | splot.VisualProperties.YAxisTitle = "Solution Distance";
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[13722] | 170 | splot.VisualProperties.YAxisMinimumAuto = false;
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[13720] | 171 | splot.VisualProperties.YAxisMinimumFixedValue = 0.0;
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[13722] | 172 | splot.VisualProperties.YAxisMaximumAuto = false;
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[13720] | 173 | splot.VisualProperties.YAxisMaximumFixedValue = 1.0;
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| 174 | var row = new ScatterPlotDataRow("Fdc", "", points);
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[13722] | 175 | row.VisualProperties.PointSize = 10;
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[14600] | 176 | row.VisualProperties.RegressionType = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowRegressionType.Linear;
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[13720] | 177 | splot.Rows.Add(row);
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| 178 | solutionsFdcViewHost.Content = splot;
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| 179 | } catch { }
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| 180 | }
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| 181 |
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| 182 | private void UpdateSolutionLengthScaleAnalysis(ISolutionSimilarityCalculator calculator) {
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| 183 | try {
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| 184 | solutionsLengthScaleViewHost.Content = null;
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| 185 | var dt = solutionsLengthScaleViewHost.Content as DataTable;
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| 186 | if (dt == null) {
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| 187 | dt = QualityDistributionAnalyzer.PrepareTable("Length Scale");
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| 188 | solutionsLengthScaleViewHost.Content = dt;
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| 189 | }
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| 190 | QualityDistributionAnalyzer.UpdateTable(dt, CalculateLengthScale(calculator));
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| 191 | } catch {
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| 192 | solutionsLengthScaleViewHost.Content = null;
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| 193 | }
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| 194 | }
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| 195 |
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| 196 | private IEnumerable<double> CalculateLengthScale(ISolutionSimilarityCalculator calculator) {
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| 197 | var solutionScopes = GetSolutionScopes();
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| 198 | for (var i = 0; i < solutionScopes.Count; i++) {
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| 199 | for (var j = 0; j < solutionScopes.Count; j++) {
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| 200 | if (i == j) continue;
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| 201 | var sim = calculator.CalculateSolutionSimilarity(solutionScopes[i], solutionScopes[j]);
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| 202 | if (sim.IsAlmost(0)) continue;
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| 203 | var qDiff = (GetQuality(solutionScopes[i], calculator.QualityVariableName) ?? double.NaN)
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| 204 | - (GetQuality(solutionScopes[j], calculator.QualityVariableName) ?? double.NaN);
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| 205 | if (!double.IsNaN(qDiff)) yield return Math.Abs(qDiff) / sim;
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| 206 | }
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| 207 | }
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| 208 | }
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| 209 |
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[13745] | 210 | private void UpdateSolutionNetworkAnalysis(ISolutionSimilarityCalculator calculator, string projection, bool lines, double contrast, double minimum) {
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[13720] | 211 | var series = solutionsNetworkChart.Series["SolutionSeries"];
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| 212 | var seedingSeries = solutionsNetworkChart.Series["SeedingSolutionSeries"];
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| 213 | try {
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[13745] | 214 | solutionsNetworkChart.Annotations.Clear();
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[13720] | 215 | series.Points.Clear();
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| 216 | seedingSeries.Points.Clear();
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| 217 | var solutionScopes = GetSolutionScopes();
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| 218 | var dissimilarities = new DoubleMatrix(solutionScopes.Count, solutionScopes.Count);
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| 219 | for (var i = 0; i < solutionScopes.Count; i++) {
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| 220 | for (var j = 0; j < solutionScopes.Count; j++) {
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| 221 | if (i == j) continue;
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| 222 | dissimilarities[i, j] = 1.0 - calculator.CalculateSolutionSimilarity(solutionScopes[i], solutionScopes[j]);
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| 223 | }
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| 224 | }
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[13743] | 225 | DoubleMatrix coords = null;
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| 226 | if (projection == "SOM")
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[13750] | 227 | coords = RelationalSOM.Map(dissimilarities, new MersenneTwister(42), jittering: true);
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[13743] | 228 | else coords = MultidimensionalScaling.KruskalShepard(dissimilarities);
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[13745] | 229 | var dataPoints = new List<DataPoint>();
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[13720] | 230 | for (var i = 0; i < coords.Rows; i++) {
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| 231 | var quality = GetQuality(solutionScopes[i], calculator.QualityVariableName) ?? double.NaN;
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| 232 | var dataPoint = new DataPoint() {
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| 233 | Name = (i + 1).ToString(),
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| 234 | XValue = coords[i, 0],
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| 235 | YValues = new[] {coords[i, 1], quality},
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| 236 | Label = (i + 1) + ": " + quality,
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| 237 | Tag = solutionScopes[i]
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| 238 | };
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[13745] | 239 | dataPoints.Add(dataPoint);
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[13720] | 240 | if (Content.SolutionSeedingPool.Contains(solutionScopes[i]) && Content.SolutionSeedingPool.ItemChecked(solutionScopes[i]))
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| 241 | seedingSeries.Points.Add(dataPoint);
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| 242 | else series.Points.Add(dataPoint);
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| 243 | }
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[13745] | 244 | if (lines) {
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| 245 | for (var i = 0; i < dataPoints.Count - 1; i++) {
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| 246 | for (var j = i + 1; j < dataPoints.Count; j++) {
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| 247 | if (dissimilarities[i, j].IsAlmost(1.0)) continue;
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| 248 | // s-shaped curve for mapping dissimilarities to alpha values
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| 249 | var alpha = (int)Math.Round(255.0 / (1.0 + Math.Exp(-contrast * ((1.0 - dissimilarities[i, j]) - (minimum / 100.0)))));
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| 250 | var lw = (int)Math.Round((1 - dissimilarities[i, j]) * 3.0 + 1.0); // linewidth of 1 to 4
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| 251 | var an = new LineAnnotation();
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| 252 | an.SetAnchor(dataPoints[i], dataPoints[j]);
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| 253 | an.LineColor = Color.FromArgb(alpha, Color.DarkGray);
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| 254 | an.LineWidth = lw;
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| 255 | solutionsNetworkChart.Annotations.Add(an);
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| 256 | }
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| 257 | }
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| 258 | }
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[13720] | 259 | } catch {
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| 260 | // problems in calculating the similarity
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| 261 | series.Points.Clear();
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| 262 | seedingSeries.Points.Clear();
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| 263 | }
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| 264 | }
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[13787] | 265 | #endregion
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[13720] | 266 |
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[13787] | 267 | #region Content Event Handlers
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| 268 | protected override void OnProblemChanged() {
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| 269 | base.OnProblemInstancesChanged();
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| 270 | UpdateSimilarityCalculators();
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| 271 | UpdateNamesComboboxes();
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| 272 | UpdateSolutionVisualization();
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| 273 | }
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| 274 |
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| 275 | protected override void OnProblemSolutionsChanged() {
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| 276 | base.OnProblemSolutionsChanged();
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| 277 | UpdateNamesComboboxes();
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| 278 | UpdateSolutionVisualization();
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| 279 | }
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| 280 |
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| 281 | protected override void OnSolutionSeedingPoolChanged() {
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| 282 | base.OnSolutionSeedingPoolChanged();
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| 283 | UpdateSolutionNetworkAnalysis(similarityComboBox.SelectedItem as ISolutionSimilarityCalculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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| 284 | }
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| 285 | #endregion
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| 286 |
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| 287 | #region Control Event Handlers
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[13720] | 288 | private void SimilarityComboBoxOnSelectedIndexChanged(object sender, EventArgs e) {
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| 289 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)SimilarityComboBoxOnSelectedIndexChanged, sender, e); return; }
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| 290 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 291 | if (calculator != null) {
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| 292 | calculator.SolutionVariableName = (string)solutionNameComboBox.SelectedItem;
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| 293 | calculator.QualityVariableName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 294 | }
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| 295 | UpdateSolutionDiversityAnalysis(calculator);
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| 296 | UpdateSolutionFdcAnalysis(calculator, fdcBetweenBestCheckBox.Checked);
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| 297 | UpdateSolutionLengthScaleAnalysis(calculator);
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[13745] | 298 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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[13720] | 299 | }
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| 300 |
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| 301 | private void SolutionNameComboBoxOnSelectedIndexChanged(object sender, EventArgs e) {
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| 302 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)SolutionNameComboBoxOnSelectedIndexChanged, sender, e); return; }
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| 303 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 304 | if (calculator != null) {
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| 305 | calculator.SolutionVariableName = (string)solutionNameComboBox.SelectedItem;
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| 306 | calculator.QualityVariableName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 307 | }
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| 308 | UpdateSolutionDiversityAnalysis(calculator);
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| 309 | UpdateSolutionFdcAnalysis(calculator, fdcBetweenBestCheckBox.Checked);
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| 310 | UpdateSolutionLengthScaleAnalysis(calculator);
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[13745] | 311 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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[13720] | 312 | }
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| 313 |
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| 314 | private void FdcBetweenBestCheckBoxOnCheckedChanged(object sender, EventArgs e) {
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| 315 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)FdcBetweenBestCheckBoxOnCheckedChanged, sender, e); return; }
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| 316 | UpdateSolutionFdcAnalysis((ISolutionSimilarityCalculator)similarityComboBox.SelectedItem, fdcBetweenBestCheckBox.Checked);
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| 317 | }
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| 318 |
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[13743] | 319 | private void SolutionNetworkProjectionComboBoxOnSelectedIndexChanged(object sender, EventArgs e) {
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| 320 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)SolutionNetworkProjectionComboBoxOnSelectedIndexChanged, sender, e); return; }
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| 321 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 322 | if (calculator != null) {
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| 323 | calculator.SolutionVariableName = (string)solutionNameComboBox.SelectedItem;
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| 324 | calculator.QualityVariableName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 325 | }
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[13745] | 326 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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[13743] | 327 | }
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| 328 |
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[13745] | 329 | private void LinesCheckBoxOnCheckedChanged(object sender, EventArgs e) {
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| 330 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)LinesCheckBoxOnCheckedChanged, sender, e); return; }
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| 331 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 332 | if (calculator != null) {
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| 333 | calculator.SolutionVariableName = (string)solutionNameComboBox.SelectedItem;
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| 334 | calculator.QualityVariableName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 335 | }
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| 336 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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| 337 | }
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| 338 |
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| 339 | private void ContrastTrackBarOnScroll(object sender, EventArgs e) {
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| 340 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)ContrastTrackBarOnScroll, sender, e); return; }
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| 341 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 342 | if (calculator != null) {
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| 343 | calculator.SolutionVariableName = (string)solutionNameComboBox.SelectedItem;
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| 344 | calculator.QualityVariableName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 345 | }
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| 346 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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| 347 | }
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| 348 |
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| 349 | private void MinimumTrackBarOnScroll(object sender, EventArgs e) {
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| 350 | if (InvokeRequired) { Invoke((Action<object, EventArgs>)MinimumTrackBarOnScroll, sender, e); return; }
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| 351 | var calculator = (ISolutionSimilarityCalculator)similarityComboBox.SelectedItem;
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| 352 | if (calculator != null) {
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| 353 | calculator.SolutionVariableName = (string)solutionNameComboBox.SelectedItem;
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| 354 | calculator.QualityVariableName = Content.Problem.Problem.Evaluator.QualityParameter.ActualName;
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| 355 | }
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| 356 | UpdateSolutionNetworkAnalysis(calculator, (string)solutionNetworkProjectionComboBox.SelectedItem, linesCheckBox.Checked, contrastTrackBar.Value, minimumTrackBar.Value);
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| 357 | }
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| 358 |
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[13720] | 359 | private void SolutionsNetworkChartOnMouseClick(object sender, MouseEventArgs e) {
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| 360 | var result = solutionsNetworkChart.HitTest(e.X, e.Y);
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| 361 | if (result.ChartElementType == ChartElementType.DataPoint) {
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| 362 | var point = (DataPoint)result.Object;
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| 363 | var solutionScope = (IScope)point.Tag;
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| 364 | if (!Content.SolutionSeedingPool.Contains(solutionScope)) return;
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| 365 | Content.SolutionSeedingPool.SetItemCheckedState(solutionScope, !Content.SolutionSeedingPool.ItemChecked(solutionScope));
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| 366 | }
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| 367 | }
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| 368 |
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| 369 | private void SolutionsNetworkChartOnMouseDoubleClick(object sender, MouseEventArgs e) {
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| 370 | var result = solutionsNetworkChart.HitTest(e.X, e.Y);
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| 371 | if (result.ChartElementType == ChartElementType.DataPoint) {
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| 372 | var point = (DataPoint)result.Object;
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| 373 | var solutionScope = (IScope)point.Tag;
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| 374 | MainForm.ShowContent(solutionScope, true);
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| 375 | }
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| 376 | }
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[13787] | 377 | #endregion
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[13720] | 378 |
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[13787] | 379 | #region Helper Classes and Methods
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[13720] | 380 | private List<IScope> GetSolutionScopes() {
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| 381 | return Content.Problem.Solutions.Select(x => x.Solution).OfType<IScope>().ToList();
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| 382 | }
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| 383 |
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| 384 | private double? GetQuality(IScope scope, string qualityName) {
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| 385 | IVariable v;
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| 386 | if (!scope.Variables.TryGetValue(qualityName, out v)) return null;
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| 387 | var dval = v.Value as DoubleValue;
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| 388 | if (dval == null) return null;
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| 389 | return dval.Value;
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| 390 | }
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| 391 | #endregion
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| 392 | }
|
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| 393 | }
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