#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.Collections.Generic;
using System.Collections.ObjectModel;
using System.Drawing;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
namespace HeuristicLab.Problems.TestFunctions.SingleObjective {
[Item("SingleObjective TestFunction", "Test function with real valued inputs and a single objective.")]
[StorableClass]
[Creatable("Problems")]
public sealed class SingleObjectiveTestFunction : ParameterizedNamedItem, ISingleObjectiveProblem {
public override Image ItemImage {
get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; }
}
#region Parameter Properties
public ValueParameter MaximizationParameter {
get { return (ValueParameter)Parameters["Maximization"]; }
}
IParameter ISingleObjectiveProblem.MaximizationParameter {
get { return MaximizationParameter; }
}
public ValueParameter BoundsParameter {
get { return (ValueParameter)Parameters["Bounds"]; }
}
public ValueParameter ProblemSizeParameter {
get { return (ValueParameter)Parameters["ProblemSize"]; }
}
public ValueParameter SolutionCreatorParameter {
get { return (ValueParameter)Parameters["SolutionCreator"]; }
}
IParameter IProblem.SolutionCreatorParameter {
get { return SolutionCreatorParameter; }
}
public ValueParameter EvaluatorParameter {
get { return (ValueParameter)Parameters["Evaluator"]; }
}
IParameter IProblem.EvaluatorParameter {
get { return EvaluatorParameter; }
}
public OptionalValueParameter VisualizerParameter {
get { return (OptionalValueParameter)Parameters["Visualizer"]; }
}
IParameter IProblem.VisualizerParameter {
get { return VisualizerParameter; }
}
public OptionalValueParameter BestKnownQualityParameter {
get { return (OptionalValueParameter)Parameters["BestKnownQuality"]; }
}
IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
get { return BestKnownQualityParameter; }
}
#endregion
#region Properties
public BoolValue Maximization {
get { return MaximizationParameter.Value; }
set { MaximizationParameter.Value = value; }
}
public DoubleMatrix Bounds {
get { return BoundsParameter.Value; }
set { BoundsParameter.Value = value; }
}
public IntValue ProblemSize {
get { return ProblemSizeParameter.Value; }
set { ProblemSizeParameter.Value = value; }
}
public IRealVectorCreator SolutionCreator {
get { return SolutionCreatorParameter.Value; }
set { SolutionCreatorParameter.Value = value; }
}
ISolutionCreator IProblem.SolutionCreator {
get { return SolutionCreatorParameter.Value; }
}
public ISingleObjectiveTestFunctionEvaluator Evaluator {
get { return EvaluatorParameter.Value; }
set { EvaluatorParameter.Value = value; }
}
ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
get { return EvaluatorParameter.Value; }
}
IEvaluator IProblem.Evaluator {
get { return EvaluatorParameter.Value; }
}
public ISingleObjectiveTestFunctionSolutionsVisualizer Visualizer {
get { return VisualizerParameter.Value; }
set { VisualizerParameter.Value = value; }
}
ISolutionsVisualizer IProblem.Visualizer {
get { return VisualizerParameter.Value; }
}
public DoubleValue BestKnownQuality {
get { return BestKnownQualityParameter.Value; }
set { BestKnownQualityParameter.Value = value; }
}
private List operators;
public IEnumerable Operators {
get { return operators.Cast(); }
}
#endregion
[StorableConstructor]
private SingleObjectiveTestFunction(bool deserializing) : base() { }
public SingleObjectiveTestFunction()
: base() {
UniformRandomRealVectorCreator creator = new UniformRandomRealVectorCreator();
AckleyEvaluator evaluator = new AckleyEvaluator();
Parameters.Add(new ValueParameter("Maximization", "Set to false as most test functions are minimization problems.", new BoolValue(evaluator.Maximization)));
Parameters.Add(new ValueParameter("Bounds", "The lower and upper bounds in each dimension.", evaluator.Bounds));
Parameters.Add(new ValueParameter("ProblemSize", "The dimension of the problem.", new IntValue(2)));
Parameters.Add(new ValueParameter("SolutionCreator", "The operator which should be used to create new TSP solutions.", creator));
Parameters.Add(new ValueParameter("Evaluator", "The operator which should be used to evaluate TSP solutions.", evaluator));
Parameters.Add(new OptionalValueParameter("Visualizer", "The operator which should be used to visualize TSP solutions."));
Parameters.Add(new OptionalValueParameter("BestKnownQuality", "The quality of the best known solution of this TSP instance.", new DoubleValue(evaluator.BestKnownQuality)));
creator.RealVectorParameter.ActualName = "Point";
ParameterizeSolutionCreator();
ParameterizeEvaluator();
ParameterizeVisualizer();
Initialize();
}
public override IDeepCloneable Clone(Cloner cloner) {
SingleObjectiveTestFunction clone = (SingleObjectiveTestFunction)base.Clone(cloner);
clone.Initialize();
return clone;
}
#region Events
public event EventHandler SolutionCreatorChanged;
private void OnSolutionCreatorChanged() {
if (SolutionCreatorChanged != null)
SolutionCreatorChanged(this, EventArgs.Empty);
}
public event EventHandler EvaluatorChanged;
private void OnEvaluatorChanged() {
if (EvaluatorChanged != null)
EvaluatorChanged(this, EventArgs.Empty);
}
public event EventHandler VisualizerChanged;
private void OnVisualizerChanged() {
if (VisualizerChanged != null)
VisualizerChanged(this, EventArgs.Empty);
}
public event EventHandler OperatorsChanged;
private void OnOperatorsChanged() {
if (OperatorsChanged != null)
OperatorsChanged(this, EventArgs.Empty);
}
private void ProblemSizeParameter_ValueChanged(object sender, EventArgs e) {
ProblemSize.ValueChanged += new EventHandler(ProblemSize_ValueChanged);
ProblemSize_ValueChanged(null, EventArgs.Empty);
}
private void ProblemSize_ValueChanged(object sender, EventArgs e) {
ParameterizeSolutionCreator();
}
private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeSolutionCreator();
SolutionCreator_RealVectorParameter_ActualNameChanged(null, EventArgs.Empty);
}
private void SolutionCreator_RealVectorParameter_ActualNameChanged(object sender, EventArgs e) {
ParameterizeEvaluator();
ParameterizeOperators();
ParameterizeVisualizer();
}
private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeEvaluator();
Maximization.Value = Evaluator.Maximization;
BoundsParameter.Value = Evaluator.Bounds;
if (ProblemSize.Value < Evaluator.MinimumProblemSize)
ProblemSize.Value = Evaluator.MinimumProblemSize;
else if (ProblemSize.Value > Evaluator.MaximumProblemSize)
ProblemSize.Value = Evaluator.MaximumProblemSize;
BestKnownQuality = new DoubleValue(Evaluator.BestKnownQuality);
Evaluator_QualityParameter_ActualNameChanged(null, EventArgs.Empty);
}
private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
ParameterizeOperators();
}
private void VisualizerParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeVisualizer();
}
private void BoundsParameter_ValueChanged(object sender, EventArgs e) {
Bounds.ToStringChanged += new EventHandler(Bounds_ToStringChanged);
Bounds_ToStringChanged(null, EventArgs.Empty);
}
private void Bounds_ToStringChanged(object sender, EventArgs e) {
if (Bounds.Columns != 2 || Bounds.Rows < 1)
Bounds = new DoubleMatrix(1, 2);
}
private void Bounds_ItemChanged(object sender, EventArgs e) {
if (e.Value2 == 0 && Bounds[e.Value, 1] <= Bounds[e.Value, 0])
Bounds[e.Value, 1] = Bounds[e.Value, 0] + 0.1;
if (e.Value2 == 1 && Bounds[e.Value, 0] >= Bounds[e.Value, 1])
Bounds[e.Value, 0] = Bounds[e.Value, 1] - 0.1;
}
#endregion
#region Helpers
[StorableHook(HookType.AfterDeserialization)]
private void Initialize() {
InitializeOperators();
ProblemSizeParameter.ValueChanged += new EventHandler(ProblemSizeParameter_ValueChanged);
ProblemSize.ValueChanged += new EventHandler(ProblemSize_ValueChanged);
BoundsParameter.ValueChanged += new EventHandler(BoundsParameter_ValueChanged);
Bounds.ToStringChanged += new EventHandler(Bounds_ToStringChanged);
Bounds.ItemChanged += new EventHandler>(Bounds_ItemChanged);
SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
SolutionCreator.RealVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_RealVectorParameter_ActualNameChanged);
EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
VisualizerParameter.ValueChanged += new EventHandler(VisualizerParameter_ValueChanged);
}
private void InitializeOperators() {
operators = new List();
if (ApplicationManager.Manager != null) {
operators.AddRange(ApplicationManager.Manager.GetInstances());
ParameterizeOperators();
}
//InitializeMoveGenerators();
}
/*private void InitializeMoveGenerators() {
foreach (ITwoOptPermutationMoveOperator op in Operators.OfType()) {
if (op is IMoveGenerator) {
op.TwoOptMoveParameter.ActualNameChanged += new EventHandler(MoveGenerator_TwoOptMoveParameter_ActualNameChanged);
}
}
foreach (IThreeOptPermutationMoveOperator op in Operators.OfType()) {
if (op is IMoveGenerator) {
op.ThreeOptMoveParameter.ActualNameChanged += new EventHandler(MoveGenerator_ThreeOptMoveParameter_ActualNameChanged);
}
}
}*/
private void ParameterizeSolutionCreator() {
SolutionCreator.LengthParameter.Value = new IntValue(ProblemSize.Value);
}
private void ParameterizeEvaluator() {
Evaluator.PointParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
}
private void ParameterizeVisualizer() {
if (Visualizer != null) {
Visualizer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
Visualizer.PointParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
}
}
private void ParameterizeOperators() {
foreach (IRealVectorCrossover op in Operators.OfType()) {
op.ParentsParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
op.ChildParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
}
foreach (IRealVectorManipulator op in Operators.OfType()) {
op.RealVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
}
/*foreach (IPermutationMoveOperator op in Operators.OfType()) {
op.PermutationParameter.ActualName = SolutionCreator.PermutationParameter.ActualName;
}
foreach (ITSPPathMoveEvaluator op in Operators.OfType()) {
op.CoordinatesParameter.ActualName = CoordinatesParameter.Name;
op.DistanceMatrixParameter.ActualName = DistanceMatrixParameter.Name;
op.UseDistanceMatrixParameter.ActualName = UseDistanceMatrixParameter.Name;
}*/
}
#endregion
}
}