source: branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/MultiObjectiveTestFunctionProblem.cs @ 13448

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
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.Problems.MultiObjectiveTestFunctions.Testfunctions;
using HeuristicLab.Problems.TestFunctions;

namespace HeuristicLab.Problems.MultiObjectiveTestFunction {
  [StorableClass]
  public class MultiObjectiveTestFunctionProblem : MultiObjectiveBasicProblem<RealVectorEncoding> {

    public override bool[] Maximization {
      get {
        return Parameters.ContainsKey("TestFunction") ? TestFunction.Maximization : new bool[2];
      }
    }

    #region Parameter Properties


    private IFixedValueParameter<IntValue> ProblemSizeParameter {
      get { return (IFixedValueParameter<IntValue>)Parameters["ProblemSize"]; }
    }
    private IFixedValueParameter<IntValue> SolutionSizeParameter {
      get { return (IFixedValueParameter<IntValue>)Parameters["SolutionSize"]; }
    }
    private IValueParameter<DoubleMatrix> BoundsParameter {
      get { return (IValueParameter<DoubleMatrix>)Parameters["Bounds"]; }
    }
    public OptionalValueParameter<RealVector> BestKnownSolutionParameter {
      get { return (OptionalValueParameter<RealVector>)Parameters["BestKnownSolution"]; }
    }
    public IValueParameter<IMultiObjectiveTestFunction> TestFunctionParameter {
      get { return (IValueParameter<IMultiObjectiveTestFunction>)Parameters["TestFunction"]; }
    }
    #endregion

    #region Properties
    public int ProblemSize {
      get { return ProblemSizeParameter.Value.Value; }
      set { ProblemSizeParameter.Value.Value = value; }
    }
    public int SolutionSize {
      get { return SolutionSizeParameter.Value.Value; }
      set { SolutionSizeParameter.Value.Value = value; }
    }
    public DoubleMatrix Bounds {
      get { return BoundsParameter.Value; }
      set { BoundsParameter.Value = value; }
    }
    public IMultiObjectiveTestFunction TestFunction {
      get { return TestFunctionParameter.Value; }
      set { TestFunctionParameter.Value = value; }
    }
    #endregion



    [StorableConstructor]
    private MultiObjectiveTestFunctionProblem(bool deserializing) : base(deserializing) { }
    private MultiObjectiveTestFunctionProblem(MultiObjectiveTestFunctionProblem original, Cloner cloner)
      : base(original, cloner) {
      RegisterEventHandlers();
    }
    public MultiObjectiveTestFunctionProblem()
      : base() { //former: base(new RealVectorEncoding("Point"))
      Parameters.Add(new FixedValueParameter<IntValue>("ProblemSize", "The dimensionality of the problem instance (number of variables in the function).", new IntValue(2)));
      Parameters.Add(new FixedValueParameter<IntValue>("SolutionSize", "The dimensionality of the solution vector (number of objectives).", new IntValue(2)));
      Parameters.Add(new ValueParameter<DoubleMatrix>("Bounds", "The bounds of the solution given as either one line for all variables or a line for each variable. The first column specifies lower bound, the second upper bound.", new DoubleMatrix(new double[,] { { -4, 4 } })));
      Parameters.Add(new ValueParameter<IMultiObjectiveTestFunction>("TestFunction", "The function that is to be optimized.", new Fonseca()));

      Encoding.LengthParameter = ProblemSizeParameter;
      Encoding.BoundsParameter = BoundsParameter;
      //BestKnownQuality = TestFunction.BestKnownQuality;

      InitializeOperators();
      RegisterEventHandlers();
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new MultiObjectiveTestFunctionProblem(this, cloner);
    }

    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      RegisterEventHandlers();
    }

    private void RegisterEventHandlers() {
      //Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
      TestFunctionParameter.ValueChanged += TestFunctionParameterOnValueChanged;
      ProblemSizeParameter.Value.ValueChanged += ProblemSizeOnValueChanged;
      SolutionSizeParameter.Value.ValueChanged += SolutionSizeOnValueChanged;
      BoundsParameter.ValueChanged += BoundsParameterOnValueChanged;
    }

    public double[] Evaluate(RealVector individual, IRandom random) {
      return TestFunction.Evaluate(individual);
    }

    public override double[] Evaluate(Individual individual, IRandom random) {
      return Evaluate(individual.RealVector(), random);
    }


    #region Events
    protected override void OnEncodingChanged() {
      base.OnEncodingChanged();
      Parameterize();
    }
    protected override void OnEvaluatorChanged() {
      base.OnEvaluatorChanged();
      // Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
      Parameterize();
    }

    //private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
    //  Parameterize();
    //}


    private void TestFunctionParameterOnValueChanged(object sender, EventArgs eventArgs) {
      var problemSizeChange = ProblemSize < TestFunction.MinimumProblemSize
                              || ProblemSize > TestFunction.MaximumProblemSize;
      if (problemSizeChange) {
        ProblemSize = Math.Max(TestFunction.MinimumProblemSize, Math.Min(ProblemSize, TestFunction.MaximumProblemSize));
      }

      var solutionSizeChange = SolutionSize < TestFunction.MinimumSolutionSize
                              || SolutionSize > TestFunction.MaximumSolutionSize;
      if (solutionSizeChange) {
        ProblemSize = Math.Max(TestFunction.MinimumSolutionSize, Math.Min(SolutionSize, TestFunction.MaximumSolutionSize));
      }
      Bounds = (DoubleMatrix)TestFunction.Bounds.Clone();
      OnReset();
    }

    private void ProblemSizeOnValueChanged(object sender, EventArgs eventArgs) {
      if (ProblemSize < TestFunction.MinimumProblemSize
        || ProblemSize > TestFunction.MaximumProblemSize)
        ProblemSize = Math.Min(TestFunction.MaximumProblemSize, Math.Max(TestFunction.MinimumProblemSize, ProblemSize));
      //TODO problemsize dominates solutionSize 
      SolutionSizeOnValueChanged(sender, eventArgs);
    }

    private void SolutionSizeOnValueChanged(object sender, EventArgs eventArgs) {
      if (SolutionSize < TestFunction.MinimumSolutionSize
        || SolutionSize > TestFunction.MaximumSolutionSize)
        SolutionSize = Math.Min(TestFunction.MaximumSolutionSize, Math.Max(TestFunction.MinimumSolutionSize, SolutionSize));
      TestFunction.ActualSolutionSize = SolutionSize;
      OnReset();
    }

    private void BoundsParameterOnValueChanged(object sender, EventArgs eventArgs) {
      Parameterize();
    }
    #endregion

    #region Helpers
    private void InitializeOperators() {
      //empty for now
      Parameterize();
    }

    private void Parameterize() {
    }

    
    #endregion
  }
}