private LocalSearchImprovementOperator(LocalSearchImprovementOperator original, Cloner cloner)
: base(original, cloner)
{
this.loop = cloner.Clone(original.loop);
this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
this.problem = cloner.Clone(original.problem);
RegisterEventHandlers();
}
public LocalSearch()
: base()
{
Parameters.Add(new ValueParameter <IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter <BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ConstrainedValueParameter <IMoveGenerator>("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
Parameters.Add(new ConstrainedValueParameter <IMoveMaker>("MoveMaker", "The operator used to perform a move."));
Parameters.Add(new ConstrainedValueParameter <ISingleObjectiveMoveEvaluator>("MoveEvaluator", "The operator used to evaluate a move."));
Parameters.Add(new ValueParameter <IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(1000)));
Parameters.Add(new ValueParameter <IntValue>("SampleSize", "Number of moves that MultiMoveGenerators should create. This is ignored for Exhaustive- and SingleMoveGenerators.", new IntValue(100)));
Parameters.Add(new ValueParameter <MultiAnalyzer>("Analyzer", "The operator used to analyze the solution and moves.", new MultiAnalyzer()));
RandomCreator randomCreator = new RandomCreator();
SolutionsCreator solutionsCreator = new SolutionsCreator();
VariableCreator variableCreator = new VariableCreator();
ResultsCollector resultsCollector = new ResultsCollector();
LocalSearchMainLoop mainLoop = new LocalSearchMainLoop();
OperatorGraph.InitialOperator = randomCreator;
randomCreator.RandomParameter.ActualName = "Random";
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SeedParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.Successor = solutionsCreator;
solutionsCreator.NumberOfSolutions = new IntValue(1);
solutionsCreator.Successor = variableCreator;
variableCreator.Name = "Initialize EvaluatedMoves";
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("EvaluatedMoves", new IntValue()));
variableCreator.CollectedValues.Add(new ValueParameter <IntValue>("Iterations", new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter <DoubleValue>("BestQuality", new DoubleValue(0)));
variableCreator.Successor = resultsCollector;
resultsCollector.CollectedValues.Add(new LookupParameter <IntValue>("Evaluated Moves", null, "EvaluatedMoves"));
resultsCollector.ResultsParameter.ActualName = "Results";
resultsCollector.Successor = mainLoop;
mainLoop.MoveGeneratorParameter.ActualName = MoveGeneratorParameter.Name;
mainLoop.MoveMakerParameter.ActualName = MoveMakerParameter.Name;
mainLoop.MoveEvaluatorParameter.ActualName = MoveEvaluatorParameter.Name;
mainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
mainLoop.ResultsParameter.ActualName = "Results";
mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
mainLoop.EvaluatedMovesParameter.ActualName = "EvaluatedMoves";
mainLoop.IterationsParameter.ActualName = "Iterations";
mainLoop.BestLocalQualityParameter.ActualName = "BestQuality";
moveQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
ParameterizeAnalyzers();
UpdateAnalyzers();
Initialize();
}
public LocalSearchImprovementOperator()
: base()
{
Parameters.Add(new ConstrainedValueParameter <IMoveGenerator>("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
Parameters.Add(new ConstrainedValueParameter <IMoveMaker>("MoveMaker", "The operator used to perform a move."));
Parameters.Add(new ConstrainedValueParameter <ISingleObjectiveMoveEvaluator>("MoveEvaluator", "The operator used to evaluate a move."));
Parameters.Add(new ValueLookupParameter <IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(150)));
Parameters.Add(new ValueLookupParameter <IntValue>("SampleSize", "Number of moves that MultiMoveGenerators should create. This is ignored for Exhaustive- and SingleMoveGenerators.", new IntValue(300)));
Parameters.Add(new LookupParameter <IntValue>("EvaluatedSolutions", "The number of evaluated moves."));
Parameters.Add(new ValueParameter <MultiAnalyzer>("Analyzer", "The operator used to analyze the solution.", new MultiAnalyzer()));
Parameters.Add(new LookupParameter <ResultCollection>("Results", "The name of the collection where the results are stored."));
Parameters.Add(new ScopeTreeLookupParameter <DoubleValue>("Quality", "The quality/fitness value of a solution."));
Parameters.Add(new LookupParameter <IRandom>("Random", "The random number generator to use."));
loop = new LocalSearchMainLoop();
((ResultsCollector)((SingleSuccessorOperator)loop.OperatorGraph.InitialOperator).Successor).CollectedValues.Remove(loop.BestLocalQualityParameter.Name);
ParameterizeLSMainLoop();
qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
Analyzer.Operators.Add(qualityAnalyzer);
RegisterEventHandlers();
}
private LocalSearchMainLoop(LocalSearchMainLoop original, Cloner cloner)
: base(original, cloner) {
}
private LocalSearchMainLoop(LocalSearchMainLoop original, Cloner cloner)
: base(original, cloner)
{
}
public LocalSearchImprovementOperator()
: base() {
Parameters.Add(new ConstrainedValueParameter<IMoveGenerator>("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
Parameters.Add(new ConstrainedValueParameter<IMoveMaker>("MoveMaker", "The operator used to perform a move."));
Parameters.Add(new ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>("MoveEvaluator", "The operator used to evaluate a move."));
Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(150)));
Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "Number of moves that MultiMoveGenerators should create. This is ignored for Exhaustive- and SingleMoveGenerators.", new IntValue(300)));
Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The number of evaluated moves."));
Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the solution.", new MultiAnalyzer()));
Parameters.Add(new LookupParameter<ResultCollection>("Results", "The name of the collection where the results are stored."));
Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The quality/fitness value of a solution."));
Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
loop = new LocalSearchMainLoop();
((ResultsCollector)((SingleSuccessorOperator)loop.OperatorGraph.InitialOperator).Successor).CollectedValues.Remove(loop.BestLocalQualityParameter.Name);
ParameterizeLSMainLoop();
qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
Analyzer.Operators.Add(qualityAnalyzer);
RegisterEventHandlers();
}
private LocalSearchImprovementOperator(LocalSearchImprovementOperator original, Cloner cloner)
: base(original, cloner) {
this.loop = cloner.Clone(original.loop);
this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
this.problem = cloner.Clone(original.problem);
RegisterEventHandlers();
}
public LocalSearch()
: base() {
Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
Parameters.Add(new ConstrainedValueParameter<IMoveGenerator>("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
Parameters.Add(new ConstrainedValueParameter<IMoveMaker>("MoveMaker", "The operator used to perform a move."));
Parameters.Add(new ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>("MoveEvaluator", "The operator used to evaluate a move."));
Parameters.Add(new ValueParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(1000)));
Parameters.Add(new ValueParameter<IntValue>("SampleSize", "Number of moves that MultiMoveGenerators should create. This is ignored for Exhaustive- and SingleMoveGenerators.", new IntValue(100)));
Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the solution and moves.", new MultiAnalyzer()));
RandomCreator randomCreator = new RandomCreator();
SolutionsCreator solutionsCreator = new SolutionsCreator();
VariableCreator variableCreator = new VariableCreator();
ResultsCollector resultsCollector = new ResultsCollector();
LocalSearchMainLoop mainLoop = new LocalSearchMainLoop();
OperatorGraph.InitialOperator = randomCreator;
randomCreator.RandomParameter.ActualName = "Random";
randomCreator.SeedParameter.ActualName = SeedParameter.Name;
randomCreator.SeedParameter.Value = null;
randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
randomCreator.SetSeedRandomlyParameter.Value = null;
randomCreator.Successor = solutionsCreator;
solutionsCreator.NumberOfSolutions = new IntValue(1);
solutionsCreator.Successor = variableCreator;
variableCreator.Name = "Initialize EvaluatedMoves";
variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedMoves", new IntValue()));
variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iterations", new IntValue(0)));
variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("BestQuality", new DoubleValue(0)));
variableCreator.Successor = resultsCollector;
resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Moves", null, "EvaluatedMoves"));
resultsCollector.ResultsParameter.ActualName = "Results";
resultsCollector.Successor = mainLoop;
mainLoop.MoveGeneratorParameter.ActualName = MoveGeneratorParameter.Name;
mainLoop.MoveMakerParameter.ActualName = MoveMakerParameter.Name;
mainLoop.MoveEvaluatorParameter.ActualName = MoveEvaluatorParameter.Name;
mainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
mainLoop.ResultsParameter.ActualName = "Results";
mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
mainLoop.EvaluatedMovesParameter.ActualName = "EvaluatedMoves";
mainLoop.IterationsParameter.ActualName = "Iterations";
mainLoop.BestLocalQualityParameter.ActualName = "BestQuality";
moveQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
ParameterizeAnalyzers();
UpdateAnalyzers();
Initialize();
}
