#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.Drawing;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
namespace HeuristicLab.Problems.OneMax {
[Item("OneMax Problem", "Represents a OneMax Problem.")]
[Creatable("Problems")]
[StorableClass]
public sealed class OneMaxProblem : ParameterizedNamedItem, ISingleObjectiveProblem, IStorableContent {
public string Filename { get; set; }
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 LengthParameter {
get { return (ValueParameter)Parameters["Length"]; }
}
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 ValueParameter BestKnownQualityParameter {
get { return (ValueParameter)Parameters["BestKnownQuality"]; }
}
IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
get { return BestKnownQualityParameter; }
}
#endregion
#region Properties
public IntValue Length {
get { return LengthParameter.Value; }
set { LengthParameter.Value = value; }
}
public IBinaryVectorCreator SolutionCreator {
get { return SolutionCreatorParameter.Value; }
set { SolutionCreatorParameter.Value = value; }
}
ISolutionCreator IProblem.SolutionCreator {
get { return SolutionCreatorParameter.Value; }
}
public IOneMaxEvaluator Evaluator {
get { return EvaluatorParameter.Value; }
set { EvaluatorParameter.Value = value; }
}
ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
get { return EvaluatorParameter.Value; }
}
IEvaluator IProblem.Evaluator {
get { return EvaluatorParameter.Value; }
}
public DoubleValue BestKnownQuality {
get { return BestKnownQualityParameter.Value; }
}
public IEnumerable Operators {
get { return operators.Cast(); }
}
private BestOneMaxSolutionAnalyzer BestOneMaxSolutionAnalyzer {
get { return operators.OfType().FirstOrDefault(); }
}
#endregion
[Storable]
private List operators;
[StorableConstructor]
private OneMaxProblem(bool deserializing) : base(deserializing) { }
public OneMaxProblem()
: base() {
RandomBinaryVectorCreator creator = new RandomBinaryVectorCreator();
OneMaxEvaluator evaluator = new OneMaxEvaluator();
Parameters.Add(new ValueParameter("Maximization", "Set to true as the OneMax Problem is a maximization problem.", new BoolValue(true)));
Parameters.Add(new ValueParameter("Length", "The length of the BinaryVector.", new IntValue(5)));
Parameters.Add(new ValueParameter("SolutionCreator", "The operator which should be used to create new OneMax solutions.", creator));
Parameters.Add(new ValueParameter("Evaluator", "The operator which should be used to evaluate OneMax solutions.", evaluator));
Parameters.Add(new ValueParameter("BestKnownQuality", "The quality of the best known solution of this OneMax instance.", new DoubleValue(5)));
creator.BinaryVectorParameter.ActualName = "OneMaxSolution";
evaluator.QualityParameter.ActualName = "NumberOfOnes";
ParameterizeSolutionCreator();
ParameterizeEvaluator();
InitializeOperators();
AttachEventHandlers();
}
public override IDeepCloneable Clone(Cloner cloner) {
OneMaxProblem clone = (OneMaxProblem)base.Clone(cloner);
clone.operators = operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
clone.AttachEventHandlers();
return clone;
}
#region Events
public event EventHandler SolutionCreatorChanged;
private void OnSolutionCreatorChanged() {
EventHandler handler = SolutionCreatorChanged;
if (handler != null) handler(this, EventArgs.Empty);
}
public event EventHandler EvaluatorChanged;
private void OnEvaluatorChanged() {
EventHandler handler = EvaluatorChanged;
if (handler != null) handler(this, EventArgs.Empty);
}
public event EventHandler OperatorsChanged;
private void OnOperatorsChanged() {
EventHandler handler = OperatorsChanged;
if (handler != null) handler(this, EventArgs.Empty);
}
public event EventHandler Reset;
private void OnReset() {
EventHandler handler = Reset;
if (handler != null) handler(this, EventArgs.Empty);
}
private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
ParameterizeSolutionCreator();
ParameterizeEvaluator();
ParameterizeAnalyzer();
ParameterizeOperators();
OnSolutionCreatorChanged();
}
private void SolutionCreator_BinaryVectorParameter_ActualNameChanged(object sender, EventArgs e) {
ParameterizeEvaluator();
ParameterizeAnalyzer();
ParameterizeOperators();
}
private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeEvaluator();
ParameterizeAnalyzer();
OnEvaluatorChanged();
}
void LengthParameter_ValueChanged(object sender, EventArgs e) {
ParameterizeSolutionCreator();
LengthParameter.Value.ValueChanged += new EventHandler(Length_ValueChanged);
BestKnownQualityParameter.Value.Value = Length.Value;
}
void Length_ValueChanged(object sender, EventArgs e) {
BestKnownQualityParameter.Value.Value = Length.Value;
}
void BestKnownQualityParameter_ValueChanged(object sender, EventArgs e) {
BestKnownQualityParameter.Value.Value = Length.Value;
}
void OneBitflipMoveParameter_ActualNameChanged(object sender, EventArgs e) {
string name = ((ILookupParameter)sender).ActualName;
foreach (IOneBitflipMoveOperator op in Operators.OfType()) {
op.OneBitflipMoveParameter.ActualName = name;
}
}
#endregion
#region Helpers
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserializationHook() {
// BackwardsCompatibility3.3
#region Backwards compatible code (remove with 3.4)
if (operators == null) InitializeOperators();
#endregion
AttachEventHandlers();
}
private void AttachEventHandlers() {
SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
LengthParameter.ValueChanged += new EventHandler(LengthParameter_ValueChanged);
LengthParameter.Value.ValueChanged += new EventHandler(Length_ValueChanged);
BestKnownQualityParameter.ValueChanged += new EventHandler(BestKnownQualityParameter_ValueChanged);
}
private void ParameterizeSolutionCreator() {
SolutionCreator.LengthParameter.ActualName = LengthParameter.Name;
}
private void ParameterizeEvaluator() {
if (Evaluator is OneMaxEvaluator)
((OneMaxEvaluator)Evaluator).BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
}
private void ParameterizeAnalyzer() {
BestOneMaxSolutionAnalyzer.MaximizationParameter.ActualName = MaximizationParameter.Name;
BestOneMaxSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
BestOneMaxSolutionAnalyzer.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
BestOneMaxSolutionAnalyzer.ResultsParameter.ActualName = "Results";
}
private void InitializeOperators() {
operators = new List();
operators.Add(new BestOneMaxSolutionAnalyzer());
ParameterizeAnalyzer();
foreach(IBinaryVectorOperator op in ApplicationManager.Manager.GetInstances()) {
if (!(op is ISingleObjectiveMoveEvaluator) || (op is IOneMaxMoveEvaluator)) {
operators.Add(op);
}
}
ParameterizeOperators();
InitializeMoveGenerators();
}
private void InitializeMoveGenerators() {
foreach (IOneBitflipMoveOperator op in Operators.OfType()) {
if (op is IMoveGenerator) {
op.OneBitflipMoveParameter.ActualNameChanged += new EventHandler(OneBitflipMoveParameter_ActualNameChanged);
}
}
}
private void ParameterizeOperators() {
foreach (IBinaryVectorCrossover op in Operators.OfType()) {
op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
op.ChildParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
}
foreach (IBinaryVectorManipulator op in Operators.OfType()) {
op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
}
foreach (IBinaryVectorMoveOperator op in Operators.OfType()) {
op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
}
}
#endregion
}
}