#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Algorithms.SimulatedAnnealing {
///
/// An operator which represents a simulated annealing.
///
[Item("SimulatedAnnealingMainLoop", "An operator which represents the main loop of a simulated annealing algorithm.")]
[StorableClass]
public sealed class SimulatedAnnealingMainLoop : AlgorithmOperator {
#region Parameter properties
public ValueLookupParameter RandomParameter {
get { return (ValueLookupParameter)Parameters["Random"]; }
}
public ValueLookupParameter MaximizationParameter {
get { return (ValueLookupParameter)Parameters["Maximization"]; }
}
public LookupParameter QualityParameter {
get { return (LookupParameter)Parameters["Quality"]; }
}
public ValueLookupParameter BestKnownQualityParameter {
get { return (ValueLookupParameter)Parameters["BestKnownQuality"]; }
}
public LookupParameter MoveQualityParameter {
get { return (LookupParameter)Parameters["MoveQuality"]; }
}
public ValueLookupParameter StartTemperatureParameter {
get { return (ValueLookupParameter)Parameters["StartTemperature"]; }
}
public ValueLookupParameter EndTemperatureParameter {
get { return (ValueLookupParameter)Parameters["EndTemperature"]; }
}
public ValueLookupParameter InnerIterationsParameter {
get { return (ValueLookupParameter)Parameters["InnerIterations"]; }
}
public LookupParameter IterationsParameter {
get { return (LookupParameter)Parameters["Iterations"]; }
}
public ValueLookupParameter MaximumIterationsParameter {
get { return (ValueLookupParameter)Parameters["MaximumIterations"]; }
}
public ValueLookupParameter MoveGeneratorParameter {
get { return (ValueLookupParameter)Parameters["MoveGenerator"]; }
}
public ValueLookupParameter MoveEvaluatorParameter {
get { return (ValueLookupParameter)Parameters["MoveEvaluator"]; }
}
public ValueLookupParameter MoveMakerParameter {
get { return (ValueLookupParameter)Parameters["MoveMaker"]; }
}
public ValueLookupParameter AnnealingOperatorParameter {
get { return (ValueLookupParameter)Parameters["AnnealingOperator"]; }
}
public ValueLookupParameter AnalyzerParameter {
get { return (ValueLookupParameter)Parameters["Analyzer"]; }
}
public ValueLookupParameter ResultsParameter {
get { return (ValueLookupParameter)Parameters["Results"]; }
}
public LookupParameter EvaluatedMovesParameter {
get { return (LookupParameter)Parameters["EvaluatedMoves"]; }
}
#endregion
[StorableConstructor]
private SimulatedAnnealingMainLoop(bool deserializing) : base(deserializing) { }
private SimulatedAnnealingMainLoop(SimulatedAnnealingMainLoop original, Cloner cloner)
: base(original, cloner) {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new SimulatedAnnealingMainLoop(this, cloner);
}
public SimulatedAnnealingMainLoop()
: base() {
Initialize();
}
private void Initialize() {
#region Create parameters
Parameters.Add(new ValueLookupParameter("Random", "A pseudo random number generator."));
Parameters.Add(new ValueLookupParameter("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new LookupParameter("Quality", "The value which represents the quality of a solution."));
Parameters.Add(new ValueLookupParameter("BestKnownQuality", "The best known quality value found so far."));
Parameters.Add(new LookupParameter("MoveQuality", "The value which represents the quality of a move."));
Parameters.Add(new ValueLookupParameter("StartTemperature", "The initial temperature."));
Parameters.Add(new ValueLookupParameter("EndTemperature", "The end temperature."));
Parameters.Add(new ValueLookupParameter("InnerIterations", "The amount of inner iterations (number of moves before temperature is adjusted again)."));
Parameters.Add(new LookupParameter("Iterations", "The number of iterations."));
Parameters.Add(new ValueLookupParameter("MaximumIterations", "The maximum number of iterations which should be processed."));
Parameters.Add(new ValueLookupParameter("MoveGenerator", "The operator that generates the moves."));
Parameters.Add(new ValueLookupParameter("MoveEvaluator", "The operator that evaluates a move."));
Parameters.Add(new ValueLookupParameter("MoveMaker", "The operator that performs a move and updates the quality."));
Parameters.Add(new ValueLookupParameter("AnnealingOperator", "The operator that modifies the temperature."));
Parameters.Add(new ValueLookupParameter("Analyzer", "The operator used to analyze each generation."));
Parameters.Add(new ValueLookupParameter("Results", "The variable collection where results should be stored."));
Parameters.Add(new LookupParameter("EvaluatedMoves", "The number of evaluated moves."));
#endregion
#region Create operators
VariableCreator variableCreator = new VariableCreator();
ResultsCollector resultsCollector1 = new ResultsCollector();
SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
Placeholder analyzer1 = new Placeholder();
SubScopesProcessor sssp = new SubScopesProcessor();
ResultsCollector resultsCollector = new ResultsCollector();
Placeholder annealingOperator = new Placeholder();
UniformSubScopesProcessor mainProcessor = new UniformSubScopesProcessor();
Placeholder moveGenerator = new Placeholder();
UniformSubScopesProcessor moveEvaluationProcessor = new UniformSubScopesProcessor();
Placeholder moveEvaluator = new Placeholder();
SubScopesCounter subScopesCounter = new SubScopesCounter();
ProbabilisticQualityComparator qualityComparator = new ProbabilisticQualityComparator();
ConditionalBranch improvesQualityBranch = new ConditionalBranch();
Placeholder moveMaker = new Placeholder();
SubScopesRemover subScopesRemover = new SubScopesRemover();
IntCounter iterationsCounter = new IntCounter();
Comparator iterationsComparator = new Comparator();
SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
Placeholder analyzer2 = new Placeholder();
ConditionalBranch iterationsTermination = new ConditionalBranch();
variableCreator.CollectedValues.Add(new ValueParameter("Temperature", new DoubleValue(double.MaxValue)));
resultsCollector1.CollectedValues.Add(new LookupParameter(IterationsParameter.Name));
resultsCollector1.CollectedValues.Add(new LookupParameter("Temperature"));
resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
analyzer1.Name = "Analyzer (placeholder)";
analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
annealingOperator.Name = "Annealing operator (placeholder)";
annealingOperator.OperatorParameter.ActualName = AnnealingOperatorParameter.Name;
moveGenerator.Name = "Move generator (placeholder)";
moveGenerator.OperatorParameter.ActualName = MoveGeneratorParameter.Name;
moveEvaluator.Name = "Move evaluator (placeholder)";
moveEvaluator.OperatorParameter.ActualName = MoveEvaluatorParameter.Name;
subScopesCounter.Name = "Increment EvaluatedMoves";
subScopesCounter.ValueParameter.ActualName = EvaluatedMovesParameter.Name;
qualityComparator.LeftSideParameter.ActualName = MoveQualityParameter.Name;
qualityComparator.RightSideParameter.ActualName = QualityParameter.Name;
qualityComparator.ResultParameter.ActualName = "IsBetter";
qualityComparator.DampeningParameter.ActualName = "Temperature";
improvesQualityBranch.ConditionParameter.ActualName = "IsBetter";
moveMaker.Name = "Move maker (placeholder)";
moveMaker.OperatorParameter.ActualName = MoveMakerParameter.Name;
subScopesRemover.RemoveAllSubScopes = true;
iterationsCounter.Name = "Increment Iterations";
iterationsCounter.Increment = new IntValue(1);
iterationsCounter.ValueParameter.ActualName = IterationsParameter.Name;
iterationsComparator.Name = "Iterations >= MaximumIterations";
iterationsComparator.LeftSideParameter.ActualName = IterationsParameter.Name;
iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
iterationsComparator.ResultParameter.ActualName = "Terminate";
iterationsComparator.Comparison.Value = ComparisonType.GreaterOrEqual;
analyzer2.Name = "Analyzer (placeholder)";
analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
iterationsTermination.Name = "Iterations termination condition";
iterationsTermination.ConditionParameter.ActualName = "Terminate";
#endregion
#region Create operator graph
OperatorGraph.InitialOperator = variableCreator;
variableCreator.Successor = resultsCollector1;
resultsCollector1.Successor = subScopesProcessor0;
subScopesProcessor0.Operators.Add(analyzer1);
subScopesProcessor0.Successor = sssp;
analyzer1.Successor = null;
sssp.Operators.Add(resultsCollector);
sssp.Successor = annealingOperator;
resultsCollector.Successor = null;
annealingOperator.Successor = mainProcessor;
mainProcessor.Operator = moveGenerator;
mainProcessor.Successor = iterationsCounter;
moveGenerator.Successor = moveEvaluationProcessor;
moveEvaluationProcessor.Operator = moveEvaluator;
moveEvaluationProcessor.Successor = subScopesCounter;
moveEvaluator.Successor = qualityComparator;
qualityComparator.Successor = improvesQualityBranch;
improvesQualityBranch.TrueBranch = moveMaker;
improvesQualityBranch.FalseBranch = null;
improvesQualityBranch.Successor = null;
moveMaker.Successor = null;
subScopesCounter.Successor = subScopesRemover;
subScopesRemover.Successor = null;
iterationsCounter.Successor = iterationsComparator;
iterationsComparator.Successor = subScopesProcessor1;
subScopesProcessor1.Operators.Add(analyzer2);
subScopesProcessor1.Successor = iterationsTermination;
iterationsTermination.TrueBranch = null;
iterationsTermination.FalseBranch = annealingOperator;
#endregion
}
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserialization() {
// BackwardsCompatibility3.3
#region Backwards compatible code (remove with 3.4)
if (!Parameters.ContainsKey("Iterations"))
Parameters.Add(new LookupParameter("Iterations", "The number of iterations."));
#endregion
}
public override IOperation Apply() {
if (MoveGeneratorParameter.ActualValue == null || MoveEvaluatorParameter.ActualValue == null || MoveMakerParameter.ActualValue == null)
return null;
return base.Apply();
}
}
}