protected GESymbolicDataAnalysisProblem(T problemData, U evaluator, V solutionCreator)
: base(evaluator, solutionCreator)
{
Parameters.Add(new ValueParameter <T>(ProblemDataParameterName, ProblemDataParameterDescription, problemData));
Parameters.Add(new ValueParameter <ISymbolicDataAnalysisGrammar>(SymbolicExpressionTreeGrammarParameterName, SymbolicExpressionTreeGrammarParameterDescription));
Parameters.Add(new ValueParameter <ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, SymbolicExpressionTreeInterpreterParameterDescription));
Parameters.Add(new FixedValueParameter <IntValue>(MaximumSymbolicExpressionTreeLengthParameterName, MaximumSymbolicExpressionTreeLengthParameterDescription));
Parameters.Add(new FixedValueParameter <IntRange>(FitnessCalculationPartitionParameterName, FitnessCalculationPartitionParameterDescription));
Parameters.Add(new FixedValueParameter <IntRange>(ValidationPartitionParameterName, ValidationPartitionParameterDescription));
Parameters.Add(new FixedValueParameter <PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, RelativeNumberOfEvaluatedSamplesParameterDescription, new PercentValue(1)));
Parameters.Add(new FixedValueParameter <BoolValue>(ApplyLinearScalingParameterName, ApplyLinearScalingParameterDescription, new BoolValue(false)));
IntMatrix m = new IntMatrix(new int[, ] {
{ 0, 100 }
});
Parameters.Add(new ValueParameter <IntMatrix>(BoundsParameterName, BoundsParameterDescription, m));
Parameters.Add(new ValueParameter <IGenotypeToPhenotypeMapper>(GenotypeToPhenotypeMapperParameterName, GenotypeToPhenotypeMapperParameterDescription, new DepthFirstMapper()));
SymbolicExpressionTreeInterpreterParameter.Hidden = true;
ApplyLinearScalingParameter.Hidden = true;
SymbolicExpressionTreeGrammar = new GESymbolicExpressionGrammar(problemData.AllowedInputVariables, problemData.AllowedInputVariables.Count() * 3);
SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeLinearInterpreter();
FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
InitializeOperators();
UpdateGrammar();
RegisterEventHandlers();
}
protected GESymbolicExpressionGrammar(GESymbolicExpressionGrammar original, Cloner cloner) : base(original, cloner)
{
}
protected GESymbolicExpressionGrammar(GESymbolicExpressionGrammar original, Cloner cloner) : base(original, cloner) { }
