#region License Information /* HeuristicLab * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Drawing; using System.Windows.Forms; using HeuristicLab.Core.Views; using HeuristicLab.Data; using HeuristicLab.MainForm; using HeuristicLab.Encodings.RealVectorEncoding; namespace HeuristicLab.Problems.TestFunctions.Views { /// /// A view for a SingleObjectiveTestFunctions solution. /// [View("Single Objective Test Functions View")] [Content(typeof(SingleObjectiveTestFunctionSolution), true)] public partial class SingleObjectiveTestFunctionSolutionView : ItemView { private Bitmap backgroundImage; public new SingleObjectiveTestFunctionSolution Content { get { return (SingleObjectiveTestFunctionSolution)base.Content; } set { base.Content = value; } } public SingleObjectiveTestFunctionSolutionView() { InitializeComponent(); pictureBox.SizeChanged += new EventHandler(pictureBox_SizeChanged); qualityView.ReadOnly = true; realVectorView.ReadOnly = true; backgroundImage = null; } protected override void DeregisterContentEvents() { Content.BestKnownRealVectorChanged -= new EventHandler(Content_BestKnownRealVectorChanged); Content.BestRealVectorChanged -= new EventHandler(Content_BestRealVectorChanged); Content.QualityChanged -= new EventHandler(Content_QualityChanged); Content.PopulationChanged -= new EventHandler(Content_PopulationChanged); Content.BoundsChanged -= new EventHandler(Content_BoundsChanged); base.DeregisterContentEvents(); } protected override void RegisterContentEvents() { base.RegisterContentEvents(); Content.BestKnownRealVectorChanged += new EventHandler(Content_BestKnownRealVectorChanged); Content.BestRealVectorChanged += new EventHandler(Content_BestRealVectorChanged); Content.QualityChanged += new EventHandler(Content_QualityChanged); Content.PopulationChanged += new EventHandler(Content_PopulationChanged); Content.BoundsChanged += new EventHandler(Content_BoundsChanged); } private void Content_BestKnownRealVectorChanged(object sender, EventArgs e) { if (InvokeRequired) Invoke(new EventHandler(Content_BestKnownRealVectorChanged), sender, e); else { GenerateImage(); } } private void Content_BestRealVectorChanged(object sender, EventArgs e) { if (InvokeRequired) Invoke(new EventHandler(Content_BestRealVectorChanged), sender, e); else { realVectorView.Content = Content.BestRealVector; pictureBox.Visible = Content.BestRealVector.Length == 2; GenerateImage(); } } private void Content_QualityChanged(object sender, EventArgs e) { if (InvokeRequired) Invoke(new EventHandler(Content_QualityChanged), sender, e); else { qualityView.Content = Content.BestQuality; pictureBox.Visible = Content.BestRealVector.Length == 2; GenerateImage(); } } private void Content_PopulationChanged(object sender, EventArgs e) { if (InvokeRequired) Invoke(new EventHandler(Content_PopulationChanged), sender, e); else { GenerateImage(); } } private void Content_BoundsChanged(object sender, EventArgs e) { if (InvokeRequired) Invoke(new EventHandler(Content_BoundsChanged), sender, e); else GenerateImage(); } protected override void OnContentChanged() { base.OnContentChanged(); if (Content == null) { qualityView.Content = null; realVectorView.Content = null; } else { qualityView.Content = Content.BestQuality; realVectorView.Content = Content.BestRealVector; pictureBox.Visible = Content.BestRealVector.Length == 2; GenerateImage(); } } protected override void OnPaint(PaintEventArgs e) { GenerateImage(); base.OnPaint(e); } protected override void SetEnabledStateOfControls() { base.SetEnabledStateOfControls(); qualityView.Enabled = Content != null; realVectorView.Enabled = Content != null; } private void GenerateImage() { if (pictureBox.Enabled && pictureBox.Width > 0 && pictureBox.Height > 0) { if (Content == null) { pictureBox.Image = null; } else { if (backgroundImage == null) { GenerateBackgroundImage(); pictureBox.Image = backgroundImage; } pictureBox.Refresh(); DoubleMatrix bounds = Content.Bounds; if (bounds == null) bounds = Content.Evaluator.Bounds; double xMin = bounds[0, 0], xMax = bounds[0, 1], yMin = bounds[1 % bounds.Rows, 0], yMax = bounds[1 % bounds.Rows, 1]; double xStep = backgroundImage.Width / (xMax - xMin), yStep = backgroundImage.Height / (yMax - yMin); using (Graphics graphics = pictureBox.CreateGraphics()) { if (Content.BestKnownRealVector != null) { Pen cross = new Pen(Brushes.Red, 2.0f); float a = (float)((Content.BestKnownRealVector[0] - xMin) * xStep); float b = (float)((Content.BestKnownRealVector[1] - yMin) * yStep); graphics.DrawLine(cross, a - 4, b - 4, a + 4, b + 4); graphics.DrawLine(cross, a - 4, b + 4, a + 4, b - 4); } foreach (RealVector vector in Content.Population) graphics.FillEllipse(Brushes.Blue, (float)((vector[0] - xMin) * xStep - 4), (float)((vector[1] - yMin) * yStep - 4), 8.0f, 8.0f); if (Content.BestRealVector != null) { graphics.FillEllipse(Brushes.Green, (float)((Content.BestRealVector[0] - xMin) * xStep - 5), (float)((Content.BestRealVector[1] - yMin) * yStep - 5), 10.0f, 10.0f); } } } } } private void GenerateBackgroundImage() { if (backgroundImage != null) backgroundImage.Dispose(); backgroundImage = new Bitmap(pictureBox.Width, pictureBox.Height); DoubleMatrix bounds = Content.Bounds; if (bounds == null) bounds = Content.Evaluator.Bounds; double xMin = bounds[0, 0], xMax = bounds[0, 1], yMin = bounds[1 % bounds.Rows, 0], yMax = bounds[1 % bounds.Rows, 1]; double xStep = (xMax - xMin) / backgroundImage.Width, yStep = (yMax - yMin) / backgroundImage.Height; double minPoint = Double.MaxValue, maxPoint = Double.MinValue; DoubleMatrix points = new DoubleMatrix(backgroundImage.Height, backgroundImage.Width); for (int i = 0; i < backgroundImage.Width; i++) for (int j = 0; j < backgroundImage.Height; j++) { points[j, i] = Content.Evaluator.Evaluate2D(xMin + i * xStep, yMin + j * yStep); if (points[j, i] < minPoint) minPoint = points[j, i]; if (points[j, i] > maxPoint) maxPoint = points[j, i]; } double grayStep; if (maxPoint == minPoint) grayStep = -1; else grayStep = 100 / (maxPoint - minPoint); for (int i = 0; i < backgroundImage.Width; i++) for (int j = 0; j < backgroundImage.Height; j++) { int luminosity = (grayStep > 0) ? (int)Math.Round((points[j, i] - minPoint) * grayStep) : (128); backgroundImage.SetPixel(i, j, Color.FromArgb(255 - luminosity, 255 - luminosity, 255 - luminosity)); } } private void pictureBox_SizeChanged(object sender, EventArgs e) { if (backgroundImage != null) backgroundImage.Dispose(); backgroundImage = null; pictureBox.Image = null; GenerateImage(); } protected override void OnClosing(FormClosingEventArgs e) { pictureBox.Enabled = false; if (backgroundImage != null) backgroundImage.Dispose(); backgroundImage = null; pictureBox.Image = null; base.OnClosing(e); } } }