source: branches/ALPS/HeuristicLab.Algorithms.ALPS/3.3/LayerUpdator.cs @ 12018

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Algorithms.ALPS {
  [Item("LayerUpdator", "Operator which manages the reseeding and creation of layers.")]
  [StorableClass]
  public class LayerUpdator : AlgorithmOperator {

    public SolutionsCreator SolutionsCreator {
      get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
    }

    [StorableConstructor]
    private LayerUpdator(bool deserializing)
      : base(deserializing) { }
    private LayerUpdator(LayerUpdator original, Cloner cloner)
      : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new LayerUpdator(this, cloner);
    }
    public LayerUpdator(IOperator mainOperator)
      : base() {
      var incGenSlr = new IntCounter() { Name = "Incr. GenerationsSinceLastRefresh" };
      var genSlrEqAgeGap = new Comparator() { Name = "GenerationsSinceLastRefresh >= AgeGap" };
      var updateLayersBranch = new ConditionalBranch() { Name = "UpdateLayers?" };
      // TODO: if expression calculator supports array indexing, use expression calculator
      //var openNewLayerCalculator = new ExpressionCalculator();
      var openNewLayerCalculator = new OpenNewLayerCalculator();
      var openNewLayerBranch = new ConditionalBranch() { Name = "OpenNewLayer?" };
      //var layerCloner = new LastSubScopeCloner() { Name = "Copy Lower Layer" };
      var layerCreator = new LayerCreator() { Name = "Create new Layer" };
      var incrOpenLayers = new IntCounter() { Name = "Incr. OpenLayers" };
      var newLayerResultsCollector = new ResultsCollector() { Name = "Collect new Layer Results" };
      var newLayerProsessor = new LastSubScopeProcessor();
      var layerInitializer = new Assigner() { Name = "Init Layer" };
      var correctAgeProcessor = new UniformSubScopesProcessor() { Name = "Hack: Decrement Age" };
      var correctAgeDecrementor = new IntCounter() { Name = "Age = Age - 1" };
      var incrEvaluatedSolutionsForNewLayer = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
      var newResultCollectionAssigner = new Assigner() { Name = "Empty Results" };
      var regenerateLayerZeroProsessor = new FirstSubScopeProcessor();
      var subScopesRemover = new SubScopesRemover();
      var solutionsCreator = new SolutionsCreator();
      var initializeAgeProsessor = new UniformSubScopesProcessor();
      var initializeAge = new VariableCreator() { Name = "Initialize Age" };
      var incrEvaluatedSolutionsAfterReseeding = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
      var resetGenSlr = new Assigner() { Name = "Reset GenerationsSinceLastRefresh" };

      OperatorGraph.InitialOperator = incGenSlr;

      incGenSlr.ValueParameter.ActualName = "GenerationsSinceLastRefresh";
      incGenSlr.Increment = new IntValue(1);
      incGenSlr.Successor = genSlrEqAgeGap;

      genSlrEqAgeGap.LeftSideParameter.ActualName = "GenerationsSinceLastRefresh";
      genSlrEqAgeGap.RightSideParameter.ActualName = "AgeGap";
      genSlrEqAgeGap.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
      genSlrEqAgeGap.ResultParameter.ActualName = "UpdateLayers";
      genSlrEqAgeGap.Successor = updateLayersBranch;

      updateLayersBranch.ConditionParameter.ActualName = "UpdateLayers";
      updateLayersBranch.TrueBranch = openNewLayerCalculator;

      //openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
      //openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("AgeGap"));
      //openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
      //openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("NumberOfLayers"));
      //openNewLayerCalculator.ExpressionParameter.Value = new StringValue("Generations AgeLimits [] OpenedLayers 1 - 1 + = false OpenLayers NumberOfLayers < if");
      //openNewLayerCalculator.ExpressionResultParameter.ActualName = "OpenNewLayer";
      openNewLayerCalculator.Successor = openNewLayerBranch;

      openNewLayerBranch.ConditionParameter.ActualName = "OpenNewLayer";
      openNewLayerBranch.TrueBranch = layerCreator;
      openNewLayerBranch.Successor = regenerateLayerZeroProsessor;

      //layerCloner.Successor = newLayerProsessor;
      layerCreator.Successor = newLayerProsessor;

      //newLayerProsessor.Operator = layerInitializer;
      newLayerProsessor.Operator = incrEvaluatedSolutionsForNewLayer;
      newLayerProsessor.Successor = incrOpenLayers;

      layerInitializer.LeftSideParameter.ActualName = "Layer";
      layerInitializer.RightSideParameter.ActualName = "OpenLayers";
      layerInitializer.Successor = correctAgeProcessor;

      correctAgeProcessor.Operator = correctAgeDecrementor;
      correctAgeProcessor.Successor = incrEvaluatedSolutionsForNewLayer;

      correctAgeDecrementor.Increment = new IntValue(-1);
      correctAgeDecrementor.ValueParameter.ActualName = "Age";

      incrEvaluatedSolutionsForNewLayer.ValueParameter.ActualName = "EvaluatedSolutions";
      incrEvaluatedSolutionsForNewLayer.AccumulateParameter.Value = new BoolValue(true);
      //incrEvaluatedSolutionsForNewLayer.Successor = newResultCollectionAssigner;
      incrEvaluatedSolutionsForNewLayer.Successor = mainOperator;

      newResultCollectionAssigner.LeftSideParameter.ActualName = "Results";
      newResultCollectionAssigner.RightSideParameter.Value = new ResultCollection();
      newResultCollectionAssigner.Successor = mainOperator;
      // TODO mainOperator increment age

      incrOpenLayers.ValueParameter.ActualName = "OpenLayers";
      incrOpenLayers.Increment = new IntValue(1);
      incrOpenLayers.Successor = newLayerResultsCollector;

      newLayerResultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each layer", "Results"));
      newLayerResultsCollector.CopyValue = new BoolValue(false);
      newLayerResultsCollector.Successor = null;

      regenerateLayerZeroProsessor.Operator = subScopesRemover;
      regenerateLayerZeroProsessor.Successor = resetGenSlr;

      subScopesRemover.Successor = solutionsCreator;

      solutionsCreator.Successor = initializeAgeProsessor;

      initializeAgeProsessor.Operator = initializeAge;
      initializeAgeProsessor.Successor = incrEvaluatedSolutionsAfterReseeding;

      initializeAge.CollectedValues.Add(new ValueParameter<IntValue>("Age", new IntValue(0)));
      initializeAge.Successor = null;

      incrEvaluatedSolutionsAfterReseeding.ValueParameter.ActualName = "EvaluatedSolutions";
      incrEvaluatedSolutionsAfterReseeding.AccumulateParameter.Value = new BoolValue(true);
      incrEvaluatedSolutionsAfterReseeding.Successor = null;

      resetGenSlr.LeftSideParameter.ActualName = "GenerationsSinceLastRefresh";
      resetGenSlr.RightSideParameter.Value = new IntValue(0);
      resetGenSlr.Successor = null;
    }
  }
}