source: branches/2521_ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/MultiObjectiveProblem.cs @ 16806

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2019 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System.Linq;
using HEAL.Attic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;

namespace HeuristicLab.Optimization {
  [StorableType("6F2EC371-0309-4848-B7B1-C9B9C7E3436F")]
  public abstract class MultiObjectiveProblem<TEncoding, TEncodedSolution> :
    Problem<TEncoding, TEncodedSolution, MultiObjectiveEvaluator<TEncodedSolution>>,
    IMultiObjectiveProblem<TEncoding, TEncodedSolution>,
    IMultiObjectiveProblemDefinition<TEncoding, TEncodedSolution>
    where TEncoding : class, IEncoding<TEncodedSolution>
    where TEncodedSolution : class, IEncodedSolution {

    protected IValueParameter<BoolArray> MaximizationParameter {
      get { return (IValueParameter<BoolArray>)Parameters["Maximization"]; }
    }

    [StorableConstructor]
    protected MultiObjectiveProblem(StorableConstructorFlag _) : base(_) { }

    protected MultiObjectiveProblem(MultiObjectiveProblem<TEncoding, TEncodedSolution> original, Cloner cloner)
      : base(original, cloner) {
      ParameterizeOperators();
    }

    protected MultiObjectiveProblem() : base() {
      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()));

      Operators.Add(Evaluator);
      Operators.Add(new MultiObjectiveAnalyzer<TEncodedSolution>());

      ParameterizeOperators();
    }

    protected MultiObjectiveProblem(TEncoding encoding) : base(encoding) {
      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()));

      Operators.Add(Evaluator);
      Operators.Add(new MultiObjectiveAnalyzer<TEncodedSolution>());

      ParameterizeOperators();
    }

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

    public int Objectives => Maximization.Length;
    public abstract bool[] Maximization { get; }
    public abstract double[] Evaluate(TEncodedSolution solution, IRandom random);
    public virtual void Analyze(TEncodedSolution[] solutions, double[][] qualities, ResultCollection results, IRandom random) { }

    protected override void OnOperatorsChanged() {
      if (Encoding != null) {
        PruneSingleObjectiveOperators(Encoding);
        var combinedEncoding = Encoding as CombinedEncoding;
        if (combinedEncoding != null) {
          foreach (var encoding in combinedEncoding.Encodings.ToList()) {
            PruneSingleObjectiveOperators(encoding);
          }
        }
      }
      base.OnOperatorsChanged();
    }

    private void PruneSingleObjectiveOperators(IEncoding encoding) {
      if (encoding != null && encoding.Operators.Any(x => x is ISingleObjectiveOperator && !(x is IMultiObjectiveOperator)))
        encoding.Operators = encoding.Operators.Where(x => !(x is ISingleObjectiveOperator) || x is IMultiObjectiveOperator).ToList();

      foreach (var multiOp in Encoding.Operators.OfType<IMultiOperator>()) {
        foreach (var soOp in multiOp.Operators.Where(x => x is ISingleObjectiveOperator).ToList()) {
          multiOp.RemoveOperator(soOp);
        }
      }
    }

    protected override void OnEvaluatorChanged() {
      base.OnEvaluatorChanged();
      ParameterizeOperators();
    }

    private void ParameterizeOperators() {
      foreach (var op in Operators.OfType<IMultiObjectiveEvaluationOperator<TEncodedSolution>>())
        op.EvaluateFunc = Evaluate;
      foreach (var op in Operators.OfType<IMultiObjectiveAnalysisOperator<TEncodedSolution>>())
        op.AnalyzeAction = Analyze;
    }


    #region IMultiObjectiveHeuristicOptimizationProblem Members
    IParameter IMultiObjectiveHeuristicOptimizationProblem.MaximizationParameter {
      get { return Parameters["Maximization"]; }
    }
    IMultiObjectiveEvaluator IMultiObjectiveHeuristicOptimizationProblem.Evaluator {
      get { return Evaluator; }
    }
    #endregion
  }
}