#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);
}
}
}