source: branches/ProgrammableProblem/HeuristicLab.Optimization/3.3/BasicProblems/Operators/MultiObjectiveAnalyzer.cs @ 11949

using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Optimization {
  [Item("Multi-objective Analyzer", "Calls the Analyze method of the problem definition.")]
  [StorableClass]
  public class MultiObjectiveAnalyzer : SingleSuccessorOperator, IMultiObjectiveAnalysisOperator, IStochasticOperator {
    public bool EnabledByDefault { get { return true; } }

    public ILookupParameter<IEncoding> EncodingParameter {
      get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
    }

    public IScopeTreeLookupParameter<DoubleArray> QualitiesParameter {
      get { return (IScopeTreeLookupParameter<DoubleArray>)Parameters["Qualities"]; }
    }

    public ILookupParameter<ResultCollection> ResultsParameter {
      get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
    }

    public ILookupParameter<IRandom> RandomParameter {
      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
    }

    public Action<Individual[], double[][], ResultCollection, IRandom> AnalyzeAction { get; set; }

    [StorableConstructor]
    protected MultiObjectiveAnalyzer(bool deserializing) : base(deserializing) { }
    protected MultiObjectiveAnalyzer(MultiObjectiveAnalyzer original, Cloner cloner) : base(original, cloner) { }
    public MultiObjectiveAnalyzer() {
      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
      Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
      Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>("Qualities", "The qualities of the parameter vector."));
      Parameters.Add(new LookupParameter<ResultCollection>("Results", "The results collection to write to."));
    }

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

    public override IOperation Apply() {
      var encoding = EncodingParameter.ActualValue;
      var results = ResultsParameter.ActualValue;
      var random = RandomParameter.ActualValue;

      IEnumerable<IScope> scopes = new[] { ExecutionContext.Scope };
      for (var i = 0; i < QualitiesParameter.Depth; i++)
        scopes = scopes.Select(x => (IEnumerable<IScope>)x.SubScopes).Aggregate((a, b) => a.Concat(b));

      var individuals = scopes.Select(encoding.GetIndividual).ToArray();
      AnalyzeAction(individuals, QualitiesParameter.ActualValue.Select(x => x.ToArray()).ToArray(), results, random);
      return base.Apply();
    }
  }
}